Data Driven And Model Based Methods For Fault Detection And Diagnosis

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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

Majdi Mansouri,Mohamed-Faouzi Harkat,Hazem Nounou,Mohamed N. Nounou
Data Driven and Model Based Methods for Fault Detection and Diagnosis Book PDF

Author : Majdi Mansouri,Mohamed-Faouzi Harkat,Hazem Nounou,Mohamed N. Nounou
Publisher : Elsevier
Page : 322 pages
File Size : 48,7 Mb
Release : 2020-02-05
Category : Technology & Engineering
ISBN : 9780128191651

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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis by Majdi Mansouri,Mohamed-Faouzi Harkat,Hazem Nounou,Mohamed N. Nounou Pdf

Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely. Outlines latent variable based hypothesis testing fault detection techniques to enhance monitoring processes represented by linear or nonlinear input-space models (such as PCA) or input-output models (such as PLS) Explains multiscale latent variable based hypothesis testing fault detection techniques using multiscale representation to help deal with uncertainty in the data and minimize its effect on fault detection Includes interval PCA (IPCA) and interval PLS (IPLS) fault detection methods to enhance the quality of fault detection Provides model-based detection techniques for the improvement of monitoring processes using state estimation-based fault detection approaches Demonstrates the effectiveness of the proposed strategies by conducting simulation and experimental studies on synthetic data

Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes

Evan L. Russell,Leo H. Chiang,Richard D. Braatz
Data driven Methods for Fault Detection and Diagnosis in Chemical Processes Book PDF

Author : Evan L. Russell,Leo H. Chiang,Richard D. Braatz
Publisher : Springer Science & Business Media
Page : 193 pages
File Size : 44,7 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781447104094

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Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes by Evan L. Russell,Leo H. Chiang,Richard D. Braatz Pdf

Early and accurate fault detection and diagnosis for modern chemical plants can minimise downtime, increase the safety of plant operations, and reduce manufacturing costs. The process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process-monitoring techniques presented include: Principal component analysis; Fisher discriminant analysis; Partial least squares; Canonical variate analysis. The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process-monitoring techniques to a nontrivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques. The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application.

Data-Driven Fault Detection for Industrial Processes

Zhiwen Chen
Data Driven Fault Detection for Industrial Processes Book PDF

Author : Zhiwen Chen
Publisher : Springer
Page : 112 pages
File Size : 48,5 Mb
Release : 2017-01-02
Category : Technology & Engineering
ISBN : 9783658167561

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Data-Driven Fault Detection for Industrial Processes by Zhiwen Chen Pdf

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.

Fault Detection and Diagnosis in Industrial Systems

L.H. Chiang,E.L. Russell,R.D. Braatz
Fault Detection and Diagnosis in Industrial Systems Book PDF

Author : L.H. Chiang,E.L. Russell,R.D. Braatz
Publisher : Springer Science & Business Media
Page : 281 pages
File Size : 40,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447103479

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Fault Detection and Diagnosis in Industrial Systems by L.H. Chiang,E.L. Russell,R.D. Braatz Pdf

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.

Diagnosis and Fault-tolerant Control 1

Vicenc Puig,Silvio Simani
Diagnosis and Fault tolerant Control 1 Book PDF

Author : Vicenc Puig,Silvio Simani
Publisher : John Wiley & Sons
Page : 290 pages
File Size : 50,5 Mb
Release : 2021-12-01
Category : Technology & Engineering
ISBN : 9781119882312

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Diagnosis and Fault-tolerant Control 1 by Vicenc Puig,Silvio Simani Pdf

This book presents recent advances in fault diagnosis strategies for complex dynamic systems. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique, especially for those demanding systems that require reliability, availability, maintainability and safety to ensure efficient operations. Moreover, the need for a high degree of tolerance with respect to possible faults represents a further key point, primarily for complex systems, as modeling and control are inherently challenging, and maintenance is both expensive and safety-critical. Diagnosis and Fault-tolerant Control 1 also presents and compares different diagnosis schemes using established case studies that are widely used in related literature. The main features of this book regard the analysis, design and implementation of proper solutions for the problems of fault diagnosis in safety critical systems. The design of the considered solutions involves robust data-driven, model-based approaches.

Diagnosis and Fault-tolerant Control 1

Vicenc Puig,Silvio Simani
Diagnosis and Fault tolerant Control 1 Book PDF

Author : Vicenc Puig,Silvio Simani
Publisher : John Wiley & Sons
Page : 290 pages
File Size : 40,5 Mb
Release : 2021-12-29
Category : Computers
ISBN : 9781789450583

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Diagnosis and Fault-tolerant Control 1 by Vicenc Puig,Silvio Simani Pdf

This book presents recent advances in fault diagnosis strategies for complex dynamic systems. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique, especially for those demanding systems that require reliability, availability, maintainability and safety to ensure efficient operations. Moreover, the need for a high degree of tolerance with respect to possible faults represents a further key point, primarily for complex systems, as modeling and control are inherently challenging, and maintenance is both expensive and safety-critical. Diagnosis and Fault-tolerant Control 1 also presents and compares different diagnosis schemes using established case studies that are widely used in related literature. The main features of this book regard the analysis, design and implementation of proper solutions for the problems of fault diagnosis in safety critical systems. The design of the considered solutions involves robust data-driven, model-based approaches.

Data-Driven Fault Detection and Reasoning for Industrial Monitoring

Jing Wang,Jinglin Zhou,Xiaolu Chen
Data Driven Fault Detection and Reasoning for Industrial Monitoring Book PDF

Author : Jing Wang,Jinglin Zhou,Xiaolu Chen
Publisher : Springer Nature
Page : 277 pages
File Size : 52,8 Mb
Release : 2022-01-03
Category : Technology & Engineering
ISBN : 9789811680441

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Data-Driven Fault Detection and Reasoning for Industrial Monitoring by Jing Wang,Jinglin Zhou,Xiaolu Chen Pdf

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.

Advanced Methods for Fault Diagnosis and Fault-tolerant Control

Steven X. Ding
Advanced Methods for Fault Diagnosis and Fault tolerant Control Book PDF

Author : Steven X. Ding
Publisher : Unknown
Page : 0 pages
File Size : 50,9 Mb
Release : 2021
Category : Electronic
ISBN : 3662620057

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Advanced Methods for Fault Diagnosis and Fault-tolerant Control by Steven X. Ding Pdf

After the first two books have been dedicated to model-based and data-driven fault diagnosis respectively, this book addresses topics in both model-based and data-driven thematic fields with considerable focuses on fault-tolerant control issues and application of machine learning methods. The major objective of the book is to study basic fault diagnosis and fault-tolerant control problems and to build a framework for long-term research efforts in the fault diagnosis and fault-tolerant control domain. In this framework, possibly unified solutions and methods can be developed for general classes of systems. The book is composed of six parts. Besides Part I serving as a common basis for the subsequent studies, Parts II - VI are dedicated to five different thematic areas, including model-based fault diagnosis methods for linear time-varying systems, nonlinear systems and systems with model uncertainties, statistical and data-driven fault diagnosis methods, assessment of fault diagnosis systems, as well as fault-tolerant control with a strong focus on performance degradation monitoring and recovering. These parts are self-contained and so structured that they can also be used for self-study on the concerned topics. The content Basic requirements on fault detection and estimation - Basic methods for fault detection and estimation in static and dynamic processes - Feedback control, observer, and residual generation - Fault detection and estimation for linear time-varying systems - Detection and isolation of multiplicative faults in uncertain systems - Analysis, parameterisation and optimal design of nonlinear observer-based fault detection systems - Data-driven fault detection methods for large-scale and distributed systems - Alternative test statistics and data-driven fault detection methods - Application of randomised algorithms to assessment and design of fault diagnosis systems - Performance-based fault-tolerant control - Performance degradation monitoring and recovering - Data-driven fault-tolerant control schemes The target groups This book would be valuable for graduate and PhD students as well as for researchers and engineers in the field. The author Prof. Dr.-Ing. Steven X. Ding is a professor and the head of the Institute for Automatic Control and Complex Systems (AKS), University of Duisburg-Essen, Germany. His research interests are model-based and data-driven fault diagnosis, control and fault-tolerant systems as well as their applications in industry with a focus on automotive systems, chemical processes and renewable energy systems.

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

Steven X. Ding
Data driven Design of Fault Diagnosis and Fault tolerant Control Systems Book PDF

Author : Steven X. Ding
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 48,5 Mb
Release : 2014-04-12
Category : Technology & Engineering
ISBN : 9781447164104

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

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.

Fault Detection and Diagnosis in Industrial Systems

L.H. Chiang,E.L. Russell,R.D. Braatz
Fault Detection and Diagnosis in Industrial Systems Book PDF

Author : L.H. Chiang,E.L. Russell,R.D. Braatz
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 55,6 Mb
Release : 2000-12-11
Category : Technology & Engineering
ISBN : 1852333278

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Fault Detection and Diagnosis in Industrial Systems by L.H. Chiang,E.L. Russell,R.D. Braatz Pdf

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.

Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains

Hongtian Chen,Bin Jiang,Ningyun Lu,Wen Chen
Data driven Detection and Diagnosis of Faults in Traction Systems of High speed Trains Book PDF

Author : Hongtian Chen,Bin Jiang,Ningyun Lu,Wen Chen
Publisher : Springer Nature
Page : 164 pages
File Size : 51,9 Mb
Release : 2020-04-25
Category : Technology & Engineering
ISBN : 9783030462635

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Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains by Hongtian Chen,Bin Jiang,Ningyun Lu,Wen Chen Pdf

This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.

Fault-Diagnosis Systems

Rolf Isermann
Fault Diagnosis Systems Book PDF

Author : Rolf Isermann
Publisher : Springer Science & Business Media
Page : 475 pages
File Size : 41,6 Mb
Release : 2006-01-16
Category : Technology & Engineering
ISBN : 9783540303688

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Fault-Diagnosis Systems by Rolf Isermann Pdf

With increasing demands for efficiency and product quality plus progress in the integration of automatic control systems in high-cost mechatronic and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role. The book gives an introduction into advanced methods of fault detection and diagnosis (FDD). After definitions of important terms, it considers the reliability, availability, safety and systems integrity of technical processes. Then fault-detection methods for single signals without models such as limit and trend checking and with harmonic and stochastic models, such as Fourier analysis, correlation and wavelets are treated. This is followed by fault detection with process models using the relationships between signals such as parameter estimation, parity equations, observers and principal component analysis. The treated fault-diagnosis methods include classification methods from Bayes classification to neural networks with decision trees and inference methods from approximate reasoning with fuzzy logic to hybrid fuzzy-neuro systems. Several practical examples for fault detection and diagnosis of DC motor drives, a centrifugal pump, automotive suspension and tire demonstrate applications.

Advanced methods for fault diagnosis and fault-tolerant control

Steven X. Ding
Advanced methods for fault diagnosis and fault tolerant control Book PDF

Author : Steven X. Ding
Publisher : Springer Nature
Page : 664 pages
File Size : 40,8 Mb
Release : 2020-11-24
Category : Technology & Engineering
ISBN : 9783662620045

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Advanced methods for fault diagnosis and fault-tolerant control by Steven X. Ding Pdf

The major objective of this book is to introduce advanced design and (online) optimization methods for fault diagnosis and fault-tolerant control from different aspects. Under the aspect of system types, fault diagnosis and fault-tolerant issues are dealt with for linear time-invariant and time-varying systems as well as for nonlinear and distributed (including networked) systems. From the methodological point of view, both model-based and data-driven schemes are investigated.To allow for a self-contained study and enable an easy implementation in real applications, the necessary knowledge as well as tools in mathematics and control theory are included in this book. The main results with the fault diagnosis and fault-tolerant schemes are presented in form of algorithms and demonstrated by means of benchmark case studies. The intended audience of this book are process and control engineers, engineering students and researchers with control engineering background.

Model-Based Fault Diagnosis Techniques

Steven X. Ding
Model Based Fault Diagnosis Techniques Book PDF

Author : Steven X. Ding
Publisher : Springer Science & Business Media
Page : 504 pages
File Size : 47,8 Mb
Release : 2012-12-20
Category : Technology & Engineering
ISBN : 9781447147992

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Model-Based Fault Diagnosis Techniques by Steven X. Ding Pdf

Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools. This second edition of Model-Based Fault Diagnosis Techniques contains: • new material on fault isolation and identification and alarm management; • extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises; • addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and • enhanced discussion of residual evaluation which now deals with stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault identification and diagnosis and as a text it is suitable for graduate students in a formal university-based course or as a self-study aid for practising engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

Silvio Simani,Cesare Fantuzzi,Ron J. Patton
Model based Fault Diagnosis in Dynamic Systems Using Identification Techniques Book PDF

Author : Silvio Simani,Cesare Fantuzzi,Ron J. Patton
Publisher : Springer Science & Business Media
Page : 294 pages
File Size : 54,9 Mb
Release : 2013-11-11
Category : Technology & Engineering
ISBN : 9781447138297

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Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by Silvio Simani,Cesare Fantuzzi,Ron J. Patton Pdf

Safety in industrial process and production plants is a concern of rising importance but because the control devices which are now exploited to improve the performance of industrial processes include both sophisticated digital system design techniques and complex hardware, there is a higher probability of failure. Control systems must include automatic supervision of closed-loop operation to detect and isolate malfunctions quickly. A promising method for solving this problem is "analytical redundancy", in which residual signals are obtained and an accurate model of the system mimics real process behaviour. If a fault occurs, the residual signal is used to diagnose and isolate the malfunction. This book focuses on model identification oriented to the analytical approach of fault diagnosis and identification covering: choice of model structure; parameter identification; residual generation; and fault diagnosis and isolation. Sample case studies are used to demonstrate the application of these techniques.