Industrial Data Analytics For Diagnosis And Prognosis

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Industrial Data Analytics for Diagnosis and Prognosis

Author : Shiyu Zhou
Publisher : John Wiley & Sons
ISBN 13 : 1119666287
Total Pages : 356 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Industrial Data Analytics for Diagnosis and Prognosis by : Shiyu Zhou

Download or read book Industrial Data Analytics for Diagnosis and Prognosis written by Shiyu Zhou and published by John Wiley & Sons. This book was released on 2021-07-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book’s two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasets and cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methods before moving on to the application of the random effects approach to failure prognosis in industrial processes and systems. In addition to presenting the joint prognosis model, which integrates the survival regression model with the mixed effects regression model, the book also offers readers: A thorough introduction to describing variation of industrial data, including univariate and multivariate random variables and probability distributions Rigorous treatments of the diagnosis of variation sources using PCA pattern matching and the random effects model An exploration of extended mixed effects model, including mixture prior and Kalman filtering approach, for real time prognosis A detailed presentation of Gaussian process model as a flexible approach for the prediction of temporal degradation signals Ideal for senior year undergraduate students and postgraduate students in industrial, manufacturing, mechanical, and electrical engineering, Industrial Data Analytics for Diagnosis and Prognosis is also an indispensable guide for researchers and engineers interested in data analytics methods for system diagnosis and prognosis.

Industrial Data Analytics for Diagnosis and Prognosis

Author : Shiyu Zhou
Publisher : John Wiley & Sons
ISBN 13 : 1119666309
Total Pages : 356 pages
Book Rating : 4.1/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Industrial Data Analytics for Diagnosis and Prognosis by : Shiyu Zhou

Download or read book Industrial Data Analytics for Diagnosis and Prognosis written by Shiyu Zhou and published by John Wiley & Sons. This book was released on 2021-08-31 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book’s two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasets and cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methods before moving on to the application of the random effects approach to failure prognosis in industrial processes and systems. In addition to presenting the joint prognosis model, which integrates the survival regression model with the mixed effects regression model, the book also offers readers: A thorough introduction to describing variation of industrial data, including univariate and multivariate random variables and probability distributions Rigorous treatments of the diagnosis of variation sources using PCA pattern matching and the random effects model An exploration of extended mixed effects model, including mixture prior and Kalman filtering approach, for real time prognosis A detailed presentation of Gaussian process model as a flexible approach for the prediction of temporal degradation signals Ideal for senior year undergraduate students and postgraduate students in industrial, manufacturing, mechanical, and electrical engineering, Industrial Data Analytics for Diagnosis and Prognosis is also an indispensable guide for researchers and engineers interested in data analytics methods for system diagnosis and prognosis.

Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

Author : Yaguo Lei
Publisher : Springer Nature
ISBN 13 : 9811691312
Total Pages : 292 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by : Yaguo Lei

Download or read book Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems written by Yaguo Lei and published by Springer Nature. This book was released on 2022-10-19 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era. Features: Addresses the critical challenges in the field of PHM at present Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis Provides abundant experimental validations and engineering cases of the presented methodologies

Big Data Analytics in Smart Manufacturing

Author : P Suresh
Publisher : CRC Press
ISBN 13 : 1000815749
Total Pages : 205 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Big Data Analytics in Smart Manufacturing by : P Suresh

Download or read book Big Data Analytics in Smart Manufacturing written by P Suresh and published by CRC Press. This book was released on 2022-12-14 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit. The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems. The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way. Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing. Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners.

Big Data Analytics and Artificial Intelligence in the Healthcare Industry

Author : Machado, José
Publisher : IGI Global
ISBN 13 : 1799891739
Total Pages : 360 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Big Data Analytics and Artificial Intelligence in the Healthcare Industry by : Machado, José

Download or read book Big Data Analytics and Artificial Intelligence in the Healthcare Industry written by Machado, José and published by IGI Global. This book was released on 2022-04-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing new approaches and reliable enabling technologies in the healthcare industry is needed to enhance our overall quality of life and lead to a healthier, innovative, and secure society. Further study is required to ensure these current technologies, such as big data analytics and artificial intelligence, are utilized to their utmost potential and are appropriately applied to advance society. Big Data Analytics and Artificial Intelligence in the Healthcare Industry discusses technologies and emerging topics regarding reliable and innovative solutions applied to the healthcare industry and considers various applications, challenges, and issues of big data and artificial intelligence for enhancing our quality of life. Covering a range of topics such as electronic health records, machine learning, and e-health, this reference work is ideal for healthcare professionals, computer scientists, data analysts, researchers, practitioners, scholars, academicians, instructors, and students.

Guide to Industrial Analytics

Author : Richard Hill
Publisher : Springer Nature
ISBN 13 : 3030791041
Total Pages : 285 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Guide to Industrial Analytics by : Richard Hill

Download or read book Guide to Industrial Analytics written by Richard Hill and published by Springer Nature. This book was released on 2021-09-27 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data. Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments. This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use. Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.

Topics in Artificial Intelligence Applied to Industry 4.0

Author : Mahmoud Ragab AL-Refaey
Publisher : John Wiley & Sons
ISBN 13 : 1394216114
Total Pages : 325 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Topics in Artificial Intelligence Applied to Industry 4.0 by : Mahmoud Ragab AL-Refaey

Download or read book Topics in Artificial Intelligence Applied to Industry 4.0 written by Mahmoud Ragab AL-Refaey and published by John Wiley & Sons. This book was released on 2024-07-15 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.

32nd European Symposium on Computer Aided Process Engineering

Author : Ludovic Montastruc
Publisher : Elsevier
ISBN 13 : 032395880X
Total Pages : 1760 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis 32nd European Symposium on Computer Aided Process Engineering by : Ludovic Montastruc

Download or read book 32nd European Symposium on Computer Aided Process Engineering written by Ludovic Montastruc and published by Elsevier. This book was released on 2022-06-30 with total page 1760 pages. Available in PDF, EPUB and Kindle. Book excerpt: 32nd European Symposium on Computer Aided Process Engineering: ESCAPE-32 contains the papers presented at the 32nd European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Toulouse, France. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students and consultants for chemical industries who work in process development and design. Presents findings and discussions from the 32nd European Symposium of Computer Aided Process Engineering (ESCAPE) event

Data Analytics with Artificial Intelligence: Transforming Big Data into Valuable Information

Author : Mehmet Ali Yilbasi
Publisher : Mehmet Ali Yılbaşı
ISBN 13 :
Total Pages : 144 pages
Book Rating : 4./5 ( download)

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Book Synopsis Data Analytics with Artificial Intelligence: Transforming Big Data into Valuable Information by : Mehmet Ali Yilbasi

Download or read book Data Analytics with Artificial Intelligence: Transforming Big Data into Valuable Information written by Mehmet Ali Yilbasi and published by Mehmet Ali Yılbaşı. This book was released on 2023-06-11 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ebook is a guide for anyone who wants to understand the impact of Data Analytics and Artificial Intelligence in business and explore how these technologies can be applied. Businesses should use this association correctly to extract more valuable information from large data sets, optimize their operational processes and gain competitive advantage. Throughout our book, we will try to explain the potential in Data Analytics and Artificial Intelligence with examples, practical tips and real-world applications. We will also provide resources and recommendations for our readers who want to follow developments in these areas.

IoT-Based Data Analytics for the Healthcare Industry

Author : Sanjay Kumar Singh
Publisher : Academic Press
ISBN 13 : 0128214767
Total Pages : 342 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis IoT-Based Data Analytics for the Healthcare Industry by : Sanjay Kumar Singh

Download or read book IoT-Based Data Analytics for the Healthcare Industry written by Sanjay Kumar Singh and published by Academic Press. This book was released on 2020-11-07 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. Provides state-of-art methods and current trends in data analytics for the healthcare industry Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques Discusses several potential AI techniques developed using IoT for the healthcare industry Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages

Research Anthology on Cross-Industry Challenges of Industry 4.0

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799886077
Total Pages : 2004 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Cross-Industry Challenges of Industry 4.0 by : Management Association, Information Resources

Download or read book Research Anthology on Cross-Industry Challenges of Industry 4.0 written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-02-05 with total page 2004 pages. Available in PDF, EPUB and Kindle. Book excerpt: As Industry 4.0 brings on a new bout of transformation and fundamental changes in various industries, the traditional manufacturing and production methods are falling to the wayside. Industrial processes must embrace modern technology and the most recent trends to keep up with the times. With “smart factories”; the automation of information and data; and the inclusion of IoT, AI technologies, robotics, and cloud computing comes new challenges to tackle. These changes are creating new threats in security, reliability, the regulations around legislation and standardization of technologies, malfunctioning devices or operational disruptions, and more. These effects span a variety of industries and need to be discussed. Research Anthology on Cross-Industry Challenges of Industry 4.0 explores the challenges that have risen as multidisciplinary industries adapt to the Fourth Industrial Revolution. With a shifting change in technology, operations, management, and business models, the impacts of Industry 4.0 and digital transformation will be long-lasting and will forever change the face of manufacturing and production. This book highlights a cross-industry view of these challenges, the impacts they have, potential solutions, and the technological advances that have brought about these new issues. It is ideal for mechanical engineers, electrical engineers, manufacturers, supply chain managers, logistics specialists, investors, managers, policymakers, production scientists, researchers, academicians, and students looking for cross-industry research on the challenges associated with Industry 4.0.

Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0

Author : Martinetti, Alberto
Publisher : IGI Global
ISBN 13 : 1799839052
Total Pages : 321 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 by : Martinetti, Alberto

Download or read book Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 written by Martinetti, Alberto and published by IGI Global. This book was released on 2020-06-26 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: To plan, build, monitor, maintain, and dispose of products and assets properly, maintenance and safety requirements must be implemented and followed. A lack of maintenance and safety protocols leads to accidents and environmental disasters as well as unexpected downtime that costs businesses money and time. With the arrival of the Fourth Industrial Revolution and evolving technological tools, it is imperative that safety and maintenance practices be reexamined. Applications and Challenges of Maintenance and Safety Engineering in Industry 4.0 is a collection of innovative research that addresses safety and design for maintenance and reducing the factors that influence and degrade human performance and that provides technological advancements and emergent technologies that reduce the dependence on operator capabilities. Highlighting a wide range of topics including management analytics, internet of things (IoT), and maintenance, this book is ideally designed for engineers, software designers, technology developers, managers, safety officials, researchers, academicians, and students.

Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry

Author : Khang, Alex
Publisher : IGI Global
ISBN 13 :
Total Pages : 479 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry by : Khang, Alex

Download or read book Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry written by Khang, Alex and published by IGI Global. This book was released on 2024-03-04 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE). This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide.

Artificial Intelligence and Industry 4.0

Author : Aboul Ella Hassanien
Publisher : Academic Press
ISBN 13 : 0323906397
Total Pages : 264 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence and Industry 4.0 by : Aboul Ella Hassanien

Download or read book Artificial Intelligence and Industry 4.0 written by Aboul Ella Hassanien and published by Academic Press. This book was released on 2022-08-14 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT. Explores artificial intelligence applications within the industrial manufacturing and communications sectors Presents a wide range of machine learning, computer vision, and digital twin applications across the IoT sector Explores how deep learning and cognitive computing tools enable processing vast data sets, precise and comprehensive forecast of risks, and delivering recommended actions

Intelligent Analytics With Advanced Multi-Industry Applications

Author : Sun, Zhaohao
Publisher : IGI Global
ISBN 13 : 1799849643
Total Pages : 392 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Intelligent Analytics With Advanced Multi-Industry Applications by : Sun, Zhaohao

Download or read book Intelligent Analytics With Advanced Multi-Industry Applications written by Sun, Zhaohao and published by IGI Global. This book was released on 2021-01-08 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remain unsolved. There are still questions surrounding the foundation of intelligent analytics, the elements, the big characteristics, and the effects on business, management, technology, and society. Research is devoted to answering these questions and understanding how intelligent analytics can improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation, and more. Intelligent Analytics With Advanced Multi-Industry Applications is a critical reference source that explores cutting-edge theories, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world applications of the proposed concept of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud, and service) commerce and services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists, engineers, educators, university students, service and management professionals, policymakers, decision makers, practitioners, stakeholders, researchers, and others who have an interest in how intelligent analytics are being implemented and utilized in diverse industries.

Industry Automation: The Technologies, Platforms and Use Cases

Author : Pethuru Raj
Publisher : CRC Press
ISBN 13 : 1040123635
Total Pages : 437 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Industry Automation: The Technologies, Platforms and Use Cases by : Pethuru Raj

Download or read book Industry Automation: The Technologies, Platforms and Use Cases written by Pethuru Raj and published by CRC Press. This book was released on 2024-08-23 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities. All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition-enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity. In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation.

Corrosion Processes

Author : George Vachtsevanos
Publisher : Springer Nature
ISBN 13 : 3030328317
Total Pages : 339 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Corrosion Processes by : George Vachtsevanos

Download or read book Corrosion Processes written by George Vachtsevanos and published by Springer Nature. This book was released on 2020-01-01 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses relevant topics in field of corrosion, from sensing strategies to modeling of control processes, corrosion prevention, detection of corrosion initiation, prediction of corrosion growth and evolution, to maintenance practices and return on investment.Written by leading international experts, it combines mathematical and scientific rigor with multiple case studies, examples, colorful images, case studies and numerous references exploring the essentials of corrosion in depth. It appeals to a wide readership, including corrosion engineers, managers, students and industrial and government staff, and can serve as a reference text for courses in materials, mechanical and aerospace engineering, as well as anyone working on corrosion processes.