Data Driven Fault Detection For Industrial Processes

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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 : 50,5 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.

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
Page : 264 pages
File Size : 52,5 Mb
Release : 2022-01-04
Category : Technology & Engineering
ISBN : 9811680434

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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.

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 : 54,8 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.

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 : 43,8 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.

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 : 43,8 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.

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 : 46,8 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.

Data-Driven Design of Fault Diagnosis Systems

Adel Haghani Abandan Sari
Data Driven Design of Fault Diagnosis Systems Book PDF

Author : Adel Haghani Abandan Sari
Publisher : Springer Science & Business
Page : 136 pages
File Size : 52,7 Mb
Release : 2014-04-22
Category : Technology & Engineering
ISBN : 9783658058074

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Data-Driven Design of Fault Diagnosis Systems by Adel Haghani Abandan Sari Pdf

In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, different methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.

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 : 53,7 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 : 42,6 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.

Data-driven Process Monitoring and Diagnosis with Support Vector Data Description

Esmaeil Tafazzoli Moghaddam
Data driven Process Monitoring and Diagnosis with Support Vector Data Description Book PDF

Author : Esmaeil Tafazzoli Moghaddam
Publisher : Unknown
Page : 176 pages
File Size : 53,7 Mb
Release : 2011
Category : Fault location (Engineering)
ISBN : OCLC:899671988

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Data-driven Process Monitoring and Diagnosis with Support Vector Data Description by Esmaeil Tafazzoli Moghaddam Pdf

This thesis targets the problem of fault diagnosis of industrial processes with data-driven approaches. In this context, a class of problems are considered in which the only information about the process is in the form of data and no model is available due to complexity of the process. Support vector data description is a kernel based method recently proposed in the field of pattern recognition and it is known for its powerful capabilities in nonlinear data classification which can be exploited in fault diagnosis systems. The purpose of this study is to investigate SVDD applicability as a data-driven method in industrial process fault diagnosis. In this respect, a complete framework for fault diagnosis structure is proposed and studied. The results demonstrate that SVDD is a powerful method in process fault diagnosis.

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems

Rui Yang,Maiying Zhong
Machine Learning Based Fault Diagnosis for Industrial Engineering Systems Book PDF

Author : Rui Yang,Maiying Zhong
Publisher : CRC Press
Page : 87 pages
File Size : 55,7 Mb
Release : 2022-06-16
Category : Technology & Engineering
ISBN : 9781000594935

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Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang,Maiying Zhong Pdf

This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems. Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.

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
Page : 658 pages
File Size : 49,8 Mb
Release : 2020-11-24
Category : Technology & Engineering
ISBN : 3662620030

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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.

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 : 41,9 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.

Real Time Fault Monitoring of Industrial Processes

A.D. Pouliezos,George S. Stavrakakis
Real Time Fault Monitoring of Industrial Processes Book PDF

Author : A.D. Pouliezos,George S. Stavrakakis
Publisher : Springer Science & Business Media
Page : 571 pages
File Size : 49,7 Mb
Release : 2013-03-09
Category : Technology & Engineering
ISBN : 9789401583008

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Real Time Fault Monitoring of Industrial Processes by A.D. Pouliezos,George S. Stavrakakis Pdf

This book presents a detailed and up-to-date exposition of fault monitoring methods in industrial processes and structures. The following approaches are explained in considerable detail: Model-based methods (simple tests, analytical redundancy, parameter estimation); knowledge-based methods; artificial neural network methods; and nondestructive testing, etc. Each approach is complemented by specific case studies from various industrial sectors (aerospace, chemical, nuclear, etc.), thus bridging theory and practice. This volume will be a valuable tool in the hands of professional and academic engineers. It can also be recommended as a supplementary postgraduate textbook. For scientists whose work involves automatic process control and supervision, statistical process control, applied statistics, quality control, computer-assisted predictive maintenance and plant monitoring, and structural reliability and safety.