Bayesian Networks In Fault Diagnosis

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Bayesian Networks in Fault Diagnosis

Author : Cai Baoping
Publisher : World Scientific
ISBN 13 : 9813271507
Total Pages : 420 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Bayesian Networks in Fault Diagnosis by : Cai Baoping

Download or read book Bayesian Networks in Fault Diagnosis written by Cai Baoping and published by World Scientific. This book was released on 2018-08-24 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis. This unique compendium presents bibliographical review on the use of BNs in fault diagnosis in the last decades with focus on engineering systems. Subsequently, eleven important issues in BN-based fault diagnosis methodology, such as BN structure modeling, BN parameter modeling, BN inference, fault identification, validation, and verification are discussed in various cases. Researchers, professionals, academics and graduate students will better understand the theory and application, and benefit those who are keen to develop real BN-based fault diagnosis system.

Bayesian Networks in Fault Diagnosis

Author : Baoping Cai
Publisher :
ISBN 13 : 9789813271494
Total Pages : 418 pages
Book Rating : 4.2/5 (714 download)

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Book Synopsis Bayesian Networks in Fault Diagnosis by : Baoping Cai

Download or read book Bayesian Networks in Fault Diagnosis written by Baoping Cai and published by . This book was released on 2018 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Networks for Reliability Engineering

Author : Baoping Cai
Publisher : Springer
ISBN 13 : 9811365164
Total Pages : 257 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Bayesian Networks for Reliability Engineering by : Baoping Cai

Download or read book Bayesian Networks for Reliability Engineering written by Baoping Cai and published by Springer. This book was released on 2019-02-28 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliability. After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such, it is a valuable resource for researchers and practitioners in the field of reliability engineering.

Bayesian Networks

Author : Olivier Pourret
Publisher : John Wiley & Sons
ISBN 13 : 9780470994542
Total Pages : 446 pages
Book Rating : 4.9/5 (945 download)

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Book Synopsis Bayesian Networks by : Olivier Pourret

Download or read book Bayesian Networks written by Olivier Pourret and published by John Wiley & Sons. This book was released on 2008-04-30 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life case studies drawn from a range of fields including medicine, computing, natural sciences and engineering. Designed to help analysts, engineers, scientists and professionals taking part in complex decision processes to successfully implement Bayesian networks, this book equips readers with proven methods to generate, calibrate, evaluate and validate Bayesian networks. The book: Provides the tools to overcome common practical challenges such as the treatment of missing input data, interaction with experts and decision makers, determination of the optimal granularity and size of the model. Highlights the strengths of Bayesian networks whilst also presenting a discussion of their limitations. Compares Bayesian networks with other modelling techniques such as neural networks, fuzzy logic and fault trees. Describes, for ease of comparison, the main features of the major Bayesian network software packages: Netica, Hugin, Elvira and Discoverer, from the point of view of the user. Offers a historical perspective on the subject and analyses future directions for research. Written by leading experts with practical experience of applying Bayesian networks in finance, banking, medicine, robotics, civil engineering, geology, geography, genetics, forensic science, ecology, and industry, the book has much to offer both practitioners and researchers involved in statistical analysis or modelling in any of these fields.

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.

Modeling and Reasoning with Bayesian Networks

Author : Adnan Darwiche
Publisher : Cambridge University Press
ISBN 13 : 0521884381
Total Pages : 561 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Modeling and Reasoning with Bayesian Networks by : Adnan Darwiche

Download or read book Modeling and Reasoning with Bayesian Networks written by Adnan Darwiche and published by Cambridge University Press. This book was released on 2009-04-06 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.

Bayesian Networks in R

Author : Radhakrishnan Nagarajan
Publisher : Springer Science & Business Media
ISBN 13 : 1461464463
Total Pages : 157 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Bayesian Networks in R by : Radhakrishnan Nagarajan

Download or read book Bayesian Networks in R written by Radhakrishnan Nagarajan and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on experimentation of the theory and concepts. The application focuses on systems biology with emphasis on modeling pathways and signaling mechanisms from high-throughput molecular data. Bayesian networks have proven to be especially useful abstractions in this regard. Their usefulness is especially exemplified by their ability to discover new associations in addition to validating known ones across the molecules of interest. It is also expected that the prevalence of publicly available high-throughput biological data sets may encourage the audience to explore investigating novel paradigms using the approaches presented in the book.

Fault Detection and Diagnosis in Industrial Systems

Author : L.H. Chiang
Publisher : Springer Science & Business Media
ISBN 13 : 1447103475
Total Pages : 281 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Fault Detection and Diagnosis in Industrial Systems by : L.H. Chiang

Download or read book Fault Detection and Diagnosis in Industrial Systems written by L.H. Chiang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs. This book presents the theoretical background and practical techniques for data-driven process monitoring. It demonstrates the application of all the data-driven process monitoring techniques to the Tennessee Eastman plant simulator, and looks at the strengths and weaknesses of each approach in detail. A plant simulator and problems allow readers to apply process monitoring techniques.

Control Systems Safety Evaluation and Reliability

Author : William M. Goble
Publisher :
ISBN 13 : 9781556176364
Total Pages : 0 pages
Book Rating : 4.1/5 (763 download)

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Book Synopsis Control Systems Safety Evaluation and Reliability by : William M. Goble

Download or read book Control Systems Safety Evaluation and Reliability written by William M. Goble and published by . This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a collection of tools to help the control engineer evaluate the safety and reliability of automated systems. Fault Tree Analysis (FTA), Reliability Block Diagrams (RBD), Failure Modes and Effects Analysis (FMEA) and Markov modeling methods are described with many examples. The key issues including component failure modes, on-line diagnostics, common cause, software reliability and operational safety are discussed along with design rules for building better systems. Safety Instrumented Systems (SIS) analysis techniques needed to meet new regulations are covered from sensor to final element. Reference material including sample failure rates, a glossary of terms, probability math review and data tables are supplied in a number of appendixes. Contents: Understanding Random Events Failures - Stress vs. Strength Reliability and Safety Failure Modes and Effects Analysis Fault Tree Analysis Network Modeling markov Modeling Diagnostics Common Cause Software Reliability System Modeling System Architectures Safety Instrumented Systems and Life Cycle Costing.

2020 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728199870
Total Pages : pages
Book Rating : 4.1/5 (998 download)

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Book Synopsis 2020 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) by : IEEE Staff

Download or read book 2020 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM) written by IEEE Staff and published by . This book was released on 2020-10-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence, Advanced Manufacturing, Computer Science, Electronics, Control, Automation, Information Processing

Risk Assessment and Decision Analysis with Bayesian Networks

Author : Norman Fenton
Publisher : CRC Press
ISBN 13 : 1351978977
Total Pages : 638 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Risk Assessment and Decision Analysis with Bayesian Networks by : Norman Fenton

Download or read book Risk Assessment and Decision Analysis with Bayesian Networks written by Norman Fenton and published by CRC Press. This book was released on 2018-09-03 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. Features Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more Introduces all necessary mathematics, probability, and statistics as needed Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applications A dedicated website contains exercises and worked solutions for all chapters along with numerous other resources. The AgenaRisk software contains a model library with executable versions of all of the models in the book. Lecture slides are freely available to accredited academic teachers adopting the book on their course.

Learning Bayesian Networks

Author : Richard E. Neapolitan
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 704 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Learning Bayesian Networks by : Richard E. Neapolitan

Download or read book Learning Bayesian Networks written by Richard E. Neapolitan and published by Prentice Hall. This book was released on 2004 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning r Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. For expert systems developers and decision theorists.

Stochastic Local Search

Author : Holger H. Hoos
Publisher : Morgan Kaufmann
ISBN 13 : 1558608729
Total Pages : 678 pages
Book Rating : 4.5/5 (586 download)

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Book Synopsis Stochastic Local Search by : Holger H. Hoos

Download or read book Stochastic Local Search written by Holger H. Hoos and published by Morgan Kaufmann. This book was released on 2005 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment of SLS algorithms, this book examines the general concepts and specific instances of SLS algorithms and considers their development, analysis and application.

Bayesian Artificial Intelligence

Author : Kevin B. Korb
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781584883876
Total Pages : 392 pages
Book Rating : 4.8/5 (838 download)

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Book Synopsis Bayesian Artificial Intelligence by : Kevin B. Korb

Download or read book Bayesian Artificial Intelligence written by Kevin B. Korb and published by Chapman and Hall/CRC. This book was released on 2003-09-25 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in many computer science programs. Unlike other books on the subject, Bayesian Artificial Intelligence keeps mathematical detail to a minimum and covers a broad range of topics. The authors integrate all of Bayesian net technology and learning Bayesian net technology and apply them both to knowledge engineering. They emphasize understanding and intuition but also provide the algorithms and technical background needed for applications. Software, exercises, and solutions are available on the authors’ website.

Proceedings of 2019 Chinese Intelligent Systems Conference

Author : Yingmin Jia
Publisher : Springer
ISBN 13 : 9789813297005
Total Pages : 751 pages
Book Rating : 4.2/5 (97 download)

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Book Synopsis Proceedings of 2019 Chinese Intelligent Systems Conference by : Yingmin Jia

Download or read book Proceedings of 2019 Chinese Intelligent Systems Conference written by Yingmin Jia and published by Springer. This book was released on 2020-09-09 with total page 751 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book showcases new theoretical findings and techniques in the field of intelligent systems and control. It presents in-depth studies on a number of major topics, including: Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control, Guidance, Navigation and Control of Aerial Vehicles, and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.

Systems Engineering in the Fourth Industrial Revolution

Author : Ron S. Kenett
Publisher : John Wiley & Sons
ISBN 13 : 1119513944
Total Pages : 656 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Systems Engineering in the Fourth Industrial Revolution by : Ron S. Kenett

Download or read book Systems Engineering in the Fourth Industrial Revolution written by Ron S. Kenett and published by John Wiley & Sons. This book was released on 2019-12-10 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date guide for using massive amounts of data and novel technologies to design, build, and maintain better systems engineering Systems Engineering in the Fourth Industrial Revolution: Big Data, Novel Technologies, and Modern Systems Engineering offers a guide to the recent changes in systems engineering prompted by the current challenging and innovative industrial environment called the Fourth Industrial Revolution—INDUSTRY 4.0. This book contains advanced models, innovative practices, and state-of-the-art research findings on systems engineering. The contributors, an international panel of experts on the topic, explore the key elements in systems engineering that have shifted towards data collection and analytics, available and used in the design and development of systems and also in the later life-cycle stages of use and retirement. The contributors address the issues in a system in which the system involves data in its operation, contrasting with earlier approaches in which data, models, and algorithms were less involved in the function of the system. The book covers a wide range of topics including five systems engineering domains: systems engineering and systems thinking; systems software and process engineering; the digital factory; reliability and maintainability modeling and analytics; and organizational aspects of systems engineering. This important resource: Presents new and advanced approaches, methodologies, and tools for designing, testing, deploying, and maintaining advanced complex systems Explores effective evidence-based risk management practices Describes an integrated approach to safety, reliability, and cyber security based on system theory Discusses entrepreneurship as a multidisciplinary system Emphasizes technical merits of systems engineering concepts by providing technical models Written for systems engineers, Systems Engineering in the Fourth Industrial Revolution offers an up-to-date resource that contains the best practices and most recent research on the topic of systems engineering.

Probabilistic Networks and Expert Systems

Author : Robert G. Cowell
Publisher : Springer Science & Business Media
ISBN 13 : 9780387718231
Total Pages : 340 pages
Book Rating : 4.7/5 (182 download)

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Book Synopsis Probabilistic Networks and Expert Systems by : Robert G. Cowell

Download or read book Probabilistic Networks and Expert Systems written by Robert G. Cowell and published by Springer Science & Business Media. This book was released on 2007-07-16 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.