Data Driven Engineering Design

Download Data Driven Engineering Design full books in PDF, epub, and Kindle. Read online Data Driven Engineering Design ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Data-Driven Engineering Design

Author : Ang Liu
Publisher : Springer Nature
ISBN 13 : 3030881814
Total Pages : 203 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Data-Driven Engineering Design by : Ang Liu

Download or read book Data-Driven Engineering Design written by Ang Liu and published by Springer Nature. This book was released on 2021-10-09 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.

Data-Driven Science and Engineering

Author : Steven L. Brunton
Publisher : Cambridge University Press
ISBN 13 : 1009098489
Total Pages : 615 pages
Book Rating : 4.0/5 (9 download)

DOWNLOAD NOW!

Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Data-Driven Technology for Engineering Systems Health Management

Author : Gang Niu
Publisher : Springer
ISBN 13 : 9811020329
Total Pages : 357 pages
Book Rating : 4.8/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Data-Driven Technology for Engineering Systems Health Management by : Gang Niu

Download or read book Data-Driven Technology for Engineering Systems Health Management written by Gang Niu and published by Springer. This book was released on 2016-07-27 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.

Data-Oriented Design

Author : Richard Fabian
Publisher : Richard Fabian
ISBN 13 : 9781916478701
Total Pages : 308 pages
Book Rating : 4.4/5 (787 download)

DOWNLOAD NOW!

Book Synopsis Data-Oriented Design by : Richard Fabian

Download or read book Data-Oriented Design written by Richard Fabian and published by Richard Fabian. This book was released on 2018-09-29 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The projects tackled by the software development industry have grown in scale and complexity. Costs are increasing along with the number of developers. Power bills for distributed projects have reached the point where optimisations pay literal dividends. Over the last 10 years, a software development movement has gained traction, a movement founded in games development. The limited resources and complexity of the software and hardware needed to ship modern game titles demanded a different approach. Data-oriented design is inspired by high-performance computing techniques, database design, and functional programming values. It provides a practical methodology that reduces complexity while improving performance of both your development team and your product. Understand the goal, understand the data, understand the hardware, develop the solution. This book presents foundations and principles helping to build a deeper understanding of data-oriented design. It provides instruction on the thought processes involved when considering data as the primary detail of any project.

Data-Driven Controller Design

Author : Alexandre Sanfelice Bazanella
Publisher : Springer Science & Business Media
ISBN 13 : 9789400723009
Total Pages : 208 pages
Book Rating : 4.7/5 (23 download)

DOWNLOAD NOW!

Book Synopsis Data-Driven Controller Design by : Alexandre Sanfelice Bazanella

Download or read book Data-Driven Controller Design written by Alexandre Sanfelice Bazanella and published by Springer Science & Business Media. This book was released on 2011-11-16 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that have been presented in the literature since the late 1990’s. To the best knowledge of the author, these data-based design methods have never been collected in a single text, analyzed in depth or compared to each other, and this severely limits their widespread application. In this book these methods will be presented under a common theoretical framework, which fits also a large family of adaptive control methods: the MRAC (Model Reference Adaptive Control) methods. This common theoretical framework has been developed and presented very recently. The book is primarily intended for PhD students and researchers - senior or junior - in control systems. It should serve as teaching material for data-based and adaptive control courses at the graduate level, as well as for reference material for PhD theses. It should also be useful for advanced engineers willing to apply data-based design. As a matter of fact, the concepts in this book are being used, under the author’s supervision, for developing new software products in a automation company. The book will present simulation examples along the text. Practical applications of the concepts and methodologies will be presented in a specific chapter.

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems

Author : Steven X. Ding
Publisher : Springer Science & Business Media
ISBN 13 : 1447164105
Total Pages : 300 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems by : Steven X. Ding

Download or read book Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems written by Steven X. Ding and published by Springer Science & Business Media. This book was released on 2014-04-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.

Data-Driven Design and Construction

Author : Randy Deutsch
Publisher : John Wiley & Sons
ISBN 13 : 1118898702
Total Pages : 384 pages
Book Rating : 4.1/5 (188 download)

DOWNLOAD NOW!

Book Synopsis Data-Driven Design and Construction by : Randy Deutsch

Download or read book Data-Driven Design and Construction written by Randy Deutsch and published by John Wiley & Sons. This book was released on 2015-10-12 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: “In this comprehensive book, Professor Randy Deutsch has unlocked and laid bare the twenty-first century codice nascosto of architecture. It is data. Big data. Data as driver. . .This book offers us the chance to become informed and knowledgeable pursuers of data and the opportunities it offers to making architecture a wonderful, useful, and smart art form.” —From the Foreword by James Timberlake, FAIA Written for architects, engineers, contractors, owners, and educators, and based on today’s technology and practices, Data-Driven Design and Construction: 25 Strategies for Capturing, Applying and Analyzing Building Data addresses how innovative individuals and firms are using data to remain competitive while advancing their practices. seeks to address and rectify a gap in our learning, by explaining to architects, engineers, contractors and owners—and students of these fields—how to acquire and use data to make more informed decisions. documents how data-driven design is the new frontier of the convergence between BIM and architectural computational analyses and associated tools. is a book of adaptable strategies you and your organization can apply today to make the most of the data you have at your fingertips. Data-Driven Design and Construction was written to help design practitioners and their project teams make better use of BIM, and leverage data throughout the building lifecycle.

Designing Data-Intensive Applications

Author : Martin Kleppmann
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491903104
Total Pages : 658 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Designing Data-Intensive Applications by : Martin Kleppmann

Download or read book Designing Data-Intensive Applications written by Martin Kleppmann and published by "O'Reilly Media, Inc.". This book was released on 2017-03-16 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

Decision-Based Design

Author : Wei Chen
Publisher : Springer Science & Business Media
ISBN 13 : 1447140362
Total Pages : 358 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Decision-Based Design by : Wei Chen

Download or read book Decision-Based Design written by Wei Chen and published by Springer Science & Business Media. This book was released on 2012-08-22 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building upon the fundamental principles of decision theory, Decision-Based Design: Integrating Consumer Preferences into Engineering Design presents an analytical approach to enterprise-driven Decision-Based Design (DBD) as a rigorous framework for decision making in engineering design. Once the related fundamentals of decision theory, economic analysis, and econometrics modelling are established, the remaining chapters describe the entire process, the associated analytical techniques, and the design case studies for integrating consumer preference modeling into the enterprise-driven DBD framework. Methods for identifying key attributes, optimal design of human appraisal experiments, data collection, data analysis, and demand model estimation are presented and illustrated using engineering design case studies. The scope of the chapters also provides: A rigorous framework of integrating the interests from both producer and consumers in engineering design, Analytical techniques of consumer choice modelling to forecast the impact of engineering decisions, Methods for synthesizing business and engineering models in multidisciplinary design environments, and Examples of effective application of Decision-Based Design supported by case studies. No matter whether you are an engineer facing decisions in consumer related product design, an instructor or student of engineering design, or a researcher exploring the role of decision making and consumer choice modelling in design, Decision-Based Design: Integrating Consumer Preferences into Engineering Design provides a reliable reference over a range of key topics.

Data Visualisation

Author : Andy Kirk
Publisher : SAGE
ISBN 13 : 1526482886
Total Pages : 502 pages
Book Rating : 4.5/5 (264 download)

DOWNLOAD NOW!

Book Synopsis Data Visualisation by : Andy Kirk

Download or read book Data Visualisation written by Andy Kirk and published by SAGE. This book was released on 2019-07-08 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the "six best books for data geeks" - Financial Times With over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to understand and create effective data visualisations. Combining ‘how to think’ instruction with a ‘how to produce’ mentality, this book takes readers step-by-step through analysing, designing, and curating information into useful, impactful tools of communication. With this book and its extensive collection of online support, readers can: Decide what visualisations work best for their data and their audience using the chart gallery See data visualisation in action and learn the tools to try it themselves Follow online checklists, tutorials, and exercises to build skills and confidence Get advice from the UK’s leading data visualisation trainer on everything from getting started to honing the craft.

Domain-driven Design

Author : Eric Evans
Publisher : Addison-Wesley Professional
ISBN 13 : 0321125215
Total Pages : 563 pages
Book Rating : 4.3/5 (211 download)

DOWNLOAD NOW!

Book Synopsis Domain-driven Design by : Eric Evans

Download or read book Domain-driven Design written by Eric Evans and published by Addison-Wesley Professional. This book was released on 2004 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Domain-Driven Design" incorporates numerous examples in Java-case studies taken from actual projects that illustrate the application of domain-driven design to real-world software development.

Protein Engineering

Author : Huimin Zhao
Publisher : John Wiley & Sons
ISBN 13 : 3527344705
Total Pages : 41 pages
Book Rating : 4.5/5 (273 download)

DOWNLOAD NOW!

Book Synopsis Protein Engineering by : Huimin Zhao

Download or read book Protein Engineering written by Huimin Zhao and published by John Wiley & Sons. This book was released on 2021-08-23 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: A one-stop reference that reviews protein design strategies to applications in industrial and medical biotechnology Protein Engineering: Tools and Applications is a comprehensive resource that offers a systematic and comprehensive review of the most recent advances in the field, and contains detailed information on the methodologies and strategies behind these approaches. The authors—noted experts on the topic—explore the distinctive advantages and disadvantages of the presented methodologies and strategies in a targeted and focused manner that allows for the adaptation and implementation of the strategies for new applications. The book contains information on the directed evolution, rational design, and semi-rational design of proteins and offers a review of the most recent applications in industrial and medical biotechnology. This important book: Covers technologies and methodologies used in protein engineering Includes the strategies behind the approaches, designed to help with the adaptation and implementation of these strategies for new applications Offers a comprehensive and thorough treatment of protein engineering from primary strategies to applications in industrial and medical biotechnology Presents cutting edge advances in the continuously evolving field of protein engineering Written for students and professionals of bioengineering, biotechnology, biochemistry, Protein Engineering: Tools and Applications offers an essential resource to the design strategies in protein engineering and reviews recent applications.

Data Analytics for Engineering and Construction Project Risk Management

Author : Ivan Damnjanovic
Publisher : Springer
ISBN 13 : 3030142515
Total Pages : 379 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Data Analytics for Engineering and Construction Project Risk Management by : Ivan Damnjanovic

Download or read book Data Analytics for Engineering and Construction Project Risk Management written by Ivan Damnjanovic and published by Springer. This book was released on 2019-05-23 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve, and/or simplify corporate project management processes. The book places emphasis on building data-driven models for additive-incremental risks, where data can be collected on project sites, assembled from queries of corporate databases, and/or generated using procedures for eliciting experts’ judgments. While the presented models are mathematically inspired, they are nothing beyond what an engineering graduate is expected to know: some algebra, a little calculus, a little statistics, and, especially, undergraduate-level understanding of the probability theory. The book is organized in three parts and fourteen chapters. In Part I the authors provide the general introduction to risk and uncertainty analysis applied to engineering construction projects. The basic formulations and the methods for risk assessment used during project planning phase are discussed in Part II, while in Part III the authors present the methods for monitoring and (re)assessment of risks during project execution.

Design Methodology for Future Products

Author : Dieter Krause
Publisher : Springer Nature
ISBN 13 : 3030783685
Total Pages : 306 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Design Methodology for Future Products by : Dieter Krause

Download or read book Design Methodology for Future Products written by Dieter Krause and published by Springer Nature. This book was released on 2021-12-13 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design Methodology for Future Products – Data Driven, Agile and Flexible provides an overview of the recent research in the field of design methodology from the point of view of the members of the scientific society for product development (WiGeP - Wissenschaftliche Gesellschaft für Produktenwicklung e.V.). This book aims to contribute to design methods and their implementation for innovative future products. The main focus is the crucial data-driven, agile, and flexible way of working. Four topics are covered in corresponding chapters, Methods for Product Development and Management, Methods for Specific Products and Systems, Facing the Challenges in Product Development and Model-Based Engineering in Product Development. This publication starts with the agile strategic foresight of sustainable mechatronic and cyber-physical systems, moves on to the topics of system generation engineering in development processes, followed by the technical inheritance in data-driven product development. Product improvements are shown via agile experiential learning based on reverse engineering and via combination of usability and emotions. Furthermore, the development of future-oriented products in the field of biomechatronic systems, sustainable mobility systems and in situ sensor integration is shown. The overcoming of challenges in product development is demonstrated through context-adapted methods by focusing on efficiency and effectiveness, as well as designer-centered methods to tackle cognitive bias. Flow design for target-oriented availability of data and information in product development is addressed. Topics of model-based systems engineering are applied to the function-driven product development by linking model elements at all stages and phases of the product. The potential of model-based systems engineering for modular product families and engineering of multidisciplinary complex systems is shown.

Model-Driven Software Engineering in Practice

Author : Marco Brambilla
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627056955
Total Pages : 249 pages
Book Rating : 4.6/5 (27 download)

DOWNLOAD NOW!

Book Synopsis Model-Driven Software Engineering in Practice by : Marco Brambilla

Download or read book Model-Driven Software Engineering in Practice written by Marco Brambilla and published by Morgan & Claypool Publishers. This book was released on 2017-03-30 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development, as demonstrated by various quantitative and qualitative studies. MDSE adoption in the software industry is foreseen to grow exponentially in the near future, e.g., due to the convergence of software development and business analysis. The aim of this book is to provide you with an agile and flexible tool to introduce you to the MDSE world, thus allowing you to quickly understand its basic principles and techniques and to choose the right set of MDSE instruments for your needs so that you can start to benefit from MDSE right away. The book is organized into two main parts. The first part discusses the foundations of MDSE in terms of basic concepts (i.e., models and transformations), driving principles, application scenarios, and current standards, like the well-known MDA initiative proposed by OMG (Object Management Group) as well as the practices on how to integrate MDSE in existing development processes. The second part deals with the technical aspects of MDSE, spanning from the basics on when and how to build a domain-specific modeling language, to the description of Model-to-Text and Model-to-Model transformations, and the tools that support the management of MDSE projects. The second edition of the book features: a set of completely new topics, including: full example of the creation of a new modeling language (IFML), discussion of modeling issues and approaches in specific domains, like business process modeling, user interaction modeling, and enterprise architecture complete revision of examples, figures, and text, for improving readability, understandability, and coherence better formulation of definitions, dependencies between concepts and ideas addition of a complete index of book content In addition to the contents of the book, more resources are provided on the book's website http://www.mdse-book.com, including the examples presented in the book.

Data-Driven Optimization of Manufacturing Processes

Author : Kalita, Kanak
Publisher : IGI Global
ISBN 13 : 1799872084
Total Pages : 298 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

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

Download or read book Data-Driven Optimization of Manufacturing Processes written by Kalita, Kanak and published by IGI Global. This book was released on 2020-12-25 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.

Driving Eureka!

Author : Doug Hall
Publisher : Clerisy Press
ISBN 13 : 1578605822
Total Pages : 449 pages
Book Rating : 4.5/5 (786 download)

DOWNLOAD NOW!

Book Synopsis Driving Eureka! by : Doug Hall

Download or read book Driving Eureka! written by Doug Hall and published by Clerisy Press. This book was released on 2018-11-13 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transform the art of innovation into a reliable system! System Driven Innovation enables you and everyone on your team to use innovation to work smarter, faster, and more creatively. It transforms innovation from a random act to a reliable science. This new mindset ignites confidence in the future. It enables the creation of bigger and bolder ideas—and turns them into reality faster, smarter, and more successfully. With this new mindset, innovation by everyone, everywhere, every day becomes the norm. The rapidly changing world becomes a tremendous opportunity to achieve greatness. Innovation Engineering defines innovation in two words: Meaningfully Unique. When a product, service, or job candidate is Meaningfully Unique customers are willing to pay more money for it. This links to the two simple truths in today’s marketplace: If you’re Meaningfully Unique life is great! If you’re NOT Meaningfully Unique you’d better be cheap. Innovation Engineering is a new field of academic study and leadership science. It teaches how to apply the science of system thinking to strategy, innovation, and cooperation. Research finds that it helps to increase innovation speed (up to 6x) and decrease risk (by 30 to 80%). Innovation Engineering accelerates the creation and development of more profitable products and services. However, the bigger benefit may well lie in its ability to transform organizational cultures by enabling everyone to work smarter every day. What makes Innovation Engineering unique is that it’s grounded in data, backed by academic theory, and validated in real-world practice. Collectively, it’s the number one documented innovation system on earth. Over 35,000 people have been educated in Innovation Engineering classes, and more than $15 billion in innovations are in active development. In his book Driving Eureka!, best-selling business author Doug Hall presents the System Driven Innovation scientific method for enabling innovation by everyone, everywhere, every day. It’s the essential resource you need to enable yourself—and your team—to innovate, succeed, and do amazing things that matter, on a daily basis.