Data Driven Prediction For Industrial Processes And Their Applications

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Data-Driven Prediction for Industrial Processes and Their Applications

Author : Jun Zhao
Publisher : Springer
ISBN 13 : 3319940511
Total Pages : 443 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Data-Driven Prediction for Industrial Processes and Their Applications by : Jun Zhao

Download or read book Data-Driven Prediction for Industrial Processes and Their Applications written by Jun Zhao and published by Springer. This book was released on 2018-08-20 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals within the machine learning and data analysis and mining communities.

Data Driven Smart Manufacturing Technologies and Applications

Author : Weidong Li
Publisher : Springer Nature
ISBN 13 : 3030668495
Total Pages : 218 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Driven Smart Manufacturing Technologies and Applications by : Weidong Li

Download or read book Data Driven Smart Manufacturing Technologies and Applications written by Weidong Li and published by Springer Nature. This book was released on 2021-02-20 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

Data-Driven Fault Detection for Industrial Processes

Author : Zhiwen Chen
Publisher : Springer
ISBN 13 : 3658167564
Total Pages : 112 pages
Book Rating : 4.6/5 (581 download)

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Book Synopsis Data-Driven Fault Detection for Industrial Processes by : Zhiwen Chen

Download or read book Data-Driven Fault Detection for Industrial Processes written by Zhiwen Chen and published by Springer. This book was released on 2017-01-02 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been well studied in the past decades, its applications are limited to large-scale industrial processes because it is difficult to build accurate models. Furthermore, motivated by the limitations of existing data-driven FD methods, novel canonical correlation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed.

Data-Driven Fault Detection and Reasoning for Industrial Monitoring

Author : Jing Wang
Publisher : Springer Nature
ISBN 13 : 9811680442
Total Pages : 277 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Data-Driven Fault Detection and Reasoning for Industrial Monitoring by : Jing Wang

Download or read book Data-Driven Fault Detection and Reasoning for Industrial Monitoring written by Jing Wang and published by Springer Nature. This book was released on 2022-01-03 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications. This is an open access book.

Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research

Author : Chao Shang
Publisher : Springer
ISBN 13 : 9811066779
Total Pages : 143 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research by : Chao Shang

Download or read book Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research written by Chao Shang and published by Springer. This book was released on 2018-02-22 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.

Advances in Knowledge Discovery and Data Mining

Author : De-Nian Yang
Publisher : Springer Nature
ISBN 13 : 9819722594
Total Pages : 448 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : De-Nian Yang

Download or read book Advances in Knowledge Discovery and Data Mining written by De-Nian Yang and published by Springer Nature. This book was released on with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Applications and Innovations

Author : John MacIntyre
Publisher : Springer
ISBN 13 : 3030199096
Total Pages : 244 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Artificial Intelligence Applications and Innovations by : John MacIntyre

Download or read book Artificial Intelligence Applications and Innovations written by John MacIntyre and published by Springer. This book was released on 2019-05-15 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of two International Workshops held as parallel events of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, in Hersonissos, Crete, Greece, in May 2019: the 8th Mining Humanistic Data Workshop, MHDW 2019, and the 4th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2019. The 6 full papers and 4 short papers presented at MHDW 2019 were carefully reviewed and selected from 13 submissions; out of the 14 papers submitted to 5G-PINE 2019, 6 were accepted as full papers and 1 as short paper. The MHDW papers focus on the application of innovative as well as existing data matching, fusion and mining and knowledge discovery and management techniques (such as decision rules, decision trees, association rules, ontologies and alignments, clustering, filtering, learning, classifier systems, neural networks, support vector machines, preprocessing, post processing, feature selection, visualization techniques) to data derived from all areas of humanistic sciences, e.g., linguistic, historical, behavioral, psychological, artistic, musical, educational, social, and ubiquitous computing and bioinformatics. The papers presented at 5G-PINE focus on several innovative findings coming directly from modern European research in the area of modern 5G telecommunications infrastructures and related innovative services and cover a wide variety of technical and business aspects promoting options for growth and development.

Data-Driven Optimization of Manufacturing Processes

Author : Kanak Kalita
Publisher :
ISBN 13 : 9781799872092
Total Pages : 298 pages
Book Rating : 4.8/5 (72 download)

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Book Synopsis Data-Driven Optimization of Manufacturing Processes by : Kanak Kalita

Download or read book Data-Driven Optimization of Manufacturing Processes written by Kanak Kalita and published by . This book was released on 2020 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a compilation of chapters on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization, offering both soft computing approaches and machining processes"--

Smart Healthcare Systems

Author : Adwitiya Sinha
Publisher : CRC Press
ISBN 13 : 0429671776
Total Pages : 234 pages
Book Rating : 4.4/5 (296 download)

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Book Synopsis Smart Healthcare Systems by : Adwitiya Sinha

Download or read book Smart Healthcare Systems written by Adwitiya Sinha and published by CRC Press. This book was released on 2019-07-24 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.

Applications of Artificial Intelligence in Process Systems Engineering

Author : Jingzheng Ren
Publisher : Elsevier
ISBN 13 : 012821743X
Total Pages : 542 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applications of Artificial Intelligence in Process Systems Engineering by : Jingzheng Ren

Download or read book Applications of Artificial Intelligence in Process Systems Engineering written by Jingzheng Ren and published by Elsevier. This book was released on 2021-06-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

Author : Yong Zhang
Publisher : CRC Press
ISBN 13 : 1000835944
Total Pages : 290 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Filter-Based Fault Diagnosis and Remaining Useful Life Prediction by : Yong Zhang

Download or read book Filter-Based Fault Diagnosis and Remaining Useful Life Prediction written by Yong Zhang and published by CRC Press. This book was released on 2023-02-09 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

Data-Driven Technologies and Artificial Intelligence in Supply Chain

Author : Mahesh Chand
Publisher : CRC Press
ISBN 13 : 1003800998
Total Pages : 291 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Data-Driven Technologies and Artificial Intelligence in Supply Chain by : Mahesh Chand

Download or read book Data-Driven Technologies and Artificial Intelligence in Supply Chain written by Mahesh Chand and published by CRC Press. This book was released on 2023-11-23 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing. "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies" Emphasizes the impact of a data-driven supply chain on quality management "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing" Highlights the barriers to implementing artificial intelligence in small and medium enterprises Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.

Technological Innovation for Industry and Service Systems

Author : Luis M. Camarinha-Matos
Publisher : Springer
ISBN 13 : 3030177718
Total Pages : 426 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Technological Innovation for Industry and Service Systems by : Luis M. Camarinha-Matos

Download or read book Technological Innovation for Industry and Service Systems written by Luis M. Camarinha-Matos and published by Springer. This book was released on 2019-04-29 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2019, held in Costa de Caparica, Portugal, in May 2019. The 36 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and serivce systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative systems, collaboration and resilient systems, decision and optimization systems, assistive systems, smart environments, smart manufacturing, water monitoring systems, communication systems, and energy systems.

Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

Author : Fouzi Harrou
Publisher : Elsevier
ISBN 13 : 0128193662
Total Pages : 330 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches by : Fouzi Harrou

Download or read book Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches written by Fouzi Harrou and published by Elsevier. This book was released on 2020-07-03 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches – to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. Uses a data-driven based approach to fault detection and attribution Provides an in-depth understanding of fault detection and attribution in complex and multivariate systems Familiarises you with the most suitable data-driven based techniques including multivariate statistical techniques and deep learning-based methods Includes case studies and comparison of different methods

Broadband Communications, Computing, and Control for Ubiquitous Intelligence

Author : Lin Cai
Publisher : Springer Nature
ISBN 13 : 3030980642
Total Pages : 353 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Broadband Communications, Computing, and Control for Ubiquitous Intelligence by : Lin Cai

Download or read book Broadband Communications, Computing, and Control for Ubiquitous Intelligence written by Lin Cai and published by Springer Nature. This book was released on 2022-08-09 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest advances from both industry and academia on ubiquitous intelligence and how it is enabled by 5G/6G communication technologies. The authors cover network protocol and architecture design, machine learning and artificial intelligence, coordinated control and digital twins technologies, and security and privacy enhancement for ubiquitous intelligence. The authors include recent studies of performance analysis and enhancement of the Internet of Things, cyber-physical systems, edge computing, and cyber twins, all of which provide importance guidance and theoretical tools for developing future ubiquitous intelligence. The content of the book will be of interest to students, educators, and researchers in academia, industry, and research laboratories. Provides comprehensive coverage of enabling communications, computing, and control technologies for ubiquitous intelligence; Presents a novel paradigm of ubiquitous intelligence powered by broadband communications, computing, and control; Includes a review of 5G/6G communication technologies, network protocol and architecture design, and ubiquitous computing.

17th European Symposium on Computed Aided Process Engineering

Author : Valentin Plesu
Publisher : Elsevier
ISBN 13 : 9780080546315
Total Pages : 1392 pages
Book Rating : 4.5/5 (463 download)

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Book Synopsis 17th European Symposium on Computed Aided Process Engineering by : Valentin Plesu

Download or read book 17th European Symposium on Computed Aided Process Engineering written by Valentin Plesu and published by Elsevier. This book was released on 2007-05-24 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 17th European Symposium on Computed Aided Process Engineering contains papers presented at the 17th European Symposium of Computer Aided Process Engineering (ESCAPE 17) held in Bucharest, Romania, from 27-30 May 2007. The ESCAPE series serves as a forum for scientists and engineers from academia and industry to discuss progress achieved in the area of Computer Aided Process Engineering (CAPE). The main goal was to emphasize the continuity in research of innovative concepts and systematic design methods as well the diversity of applications emerged from the demands of sustainable development. ESCAPE 17 highlights the progresss software technology needed for implementing simulation based tools. The symposium is based on 5 themes and 27 topics, following the main trends in CAPE area: Modelling, Process and Products Design, Optimisation and Optimal Control and Operation, System Biology and Biological Processes, Process Integration and Sustainable Development. Participants from 50 countries attended and invited speakers presented 5 plenary lectures tackling broad subjects and 10 keynote lectures. Satellite events added a plus to the scientific dimension to this symposium. * All contributions are included on the CD-ROM attached to the book * Attendance from 50 countries with invited speakers presenting 5 plenary lectures tackling broad subjects and 10 keynote lectures

Integrated Life-Cycle and Risk Assessment for Industrial Processes and Products

Author : Guido Sonnemann
Publisher : CRC Press
ISBN 13 : 0429792484
Total Pages : 405 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Integrated Life-Cycle and Risk Assessment for Industrial Processes and Products by : Guido Sonnemann

Download or read book Integrated Life-Cycle and Risk Assessment for Industrial Processes and Products written by Guido Sonnemann and published by CRC Press. This book was released on 2018-10-10 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Life-cycle assessment is a methodology used to evaluate the environmental impacts of a product, process, or service during its life cycle, and risk assessment is a tool to evaluate potential hazards to human health and the environment introduced by pollutant emissions. The United Nations Sustainable Development Goals call for, among other objectives, responsible consumption and production by decoupling environmental resource use and environmental impacts from economic growth and human well-being. Life-cycle assessment and risk assessment are both analytical system approaches that allow scientists and other decision makers to address these issues and objectives according to the current understanding of environmental mechanisms. This book is the first attempt to illustrate the existing interfaces between life-cycle assessment and risk assessment and to indicate options for further integration of both tools. The second edition: Focuses on sustainability Considers new developments in life-cycle assessment and environmental risk assessment over the last ten years at the international level Introduces broader concepts and discussions on integrative versus the complementary use of life-cycle and risk assessments Extends the scope of integrated life-cycle and risk assessments to critical raw materials Includes more case studies and discusses engineered nanomaterials Featuring contributions from leading experts, Integrated Life-Cycle and Risk Assessment for Industrial Processes and Products is a great reference for graduate students and professionals in environmental management and intends to catalyze communication between life-cycle assessment and risk assessment experts and scientists in academia, industry, and governmental agencies. The practical format of the book—illustrated with flowcharts, examples, exercises, and concrete applications—makes it a useful manual for analyzing situations and making decisions.