Fault Detection And Diagnosis In Industrial Systems

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Fault Detection and Diagnosis in Industrial Systems

L.H. Chiang,E.L. Russell,R.D. Braatz

Author : L.H. Chiang,E.L. Russell,R.D. Braatz
Publisher : Springer Science & Business Media
Page : 281 pages
File Size : 49,8 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.

Fault Detection

Fausto Pedro García Márquez,Mayorkinos Papaelias

Author : Fausto Pedro García Márquez,Mayorkinos Papaelias
Publisher : Nova Science Publishers
Page : 0 pages
File Size : 54,6 Mb
Release : 2014-02-11
Category : Defects
ISBN : 1628089997

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Fault Detection by Fausto Pedro García Márquez,Mayorkinos Papaelias Pdf

This book synthesises the principles of fault detection with a focus on interfaces between the main disciplines of methods/technologies and industrial systems. It is complementary to other sub-disciplines such as maintenance, engineering, safety, risk analysis, etc. This book is intended for engineers, economists, technical consultants, researchers, etc. who are involved in the advancement of fault detection, and for those who incorporate fault detection in their work. The authors of this volume describe their pioneering work in the area and provide material from case studies that successfully applied the fault detection discipline in real life cases. Some topics discussed include condition monitoring of wind turbines; induction motor fault detection based on vibration analysis and support vector machines; failure detection and accommodation approaches for the airspeed sensor on a small UAV; and model-based fault diagnosis for industrial mobile robots.

Fault-Diagnosis Systems

Rolf Isermann

Author : Rolf Isermann
Publisher : Springer Science & Business Media
Page : 475 pages
File Size : 43,5 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.

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems

Rui Yang,Maiying Zhong

Author : Rui Yang,Maiying Zhong
Publisher : CRC Press
Page : 87 pages
File Size : 40,6 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.

Fault Detection and Diagnosis in Engineering Systems

Janos Gertler

Author : Janos Gertler
Publisher : Routledge
Page : 307 pages
File Size : 41,6 Mb
Release : 2017-11-22
Category : Technology & Engineering
ISBN : 9781351448789

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Fault Detection and Diagnosis in Engineering Systems by Janos Gertler Pdf

Featuring a model-based approach to fault detection and diagnosis in engineering systems, this book contains up-to-date, practical information on preventing product deterioration, performance degradation and major machinery damage.;College or university bookstores may order five or more copies at a special student price. Price is available upon request.

Fault Diagnosis in Robotic and Industrial Systems

Gerasimos G. Rigatos

Author : Gerasimos G. Rigatos
Publisher : Createspace Independent Pub
Page : 210 pages
File Size : 53,8 Mb
Release : 2012-11-01
Category : Technology & Engineering
ISBN : 1461098742

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Fault Diagnosis in Robotic and Industrial Systems by Gerasimos G. Rigatos Pdf

Fault detection and isolation is an important topic for researchers in the area of robotics and for industrial systems engineers. The need for a systematic method that will permit preventive maintenance through the diagnosis of incipient faults is obvious. At the same time it is desirable to reduce the false alarms rate so as to avoid unnecessary and costly interruptions of industrial processes and robotic tasks. The proposed book aims at analyzing recent advances in the area of fault diagnosis for robotic and industrial systems. There are totally 9 chapters in this book. Chapter 1 deals with supervision for the safe navigation of autonomous robots in a natural environment. Fault diagnosis and natural environment perception are used at different levels within a supervisor architecture and real operation is demonstrated on an autonomous tractor driving in an orchard. Chapter 2 gives an introduction to fault tolerant sensor systems which is based on the Failure Modes and Effects Analysis (FMEA) method. Chapter 3 aims at analyzing and implementing new solutions for the problem of distributed estimation for condition monitoring of nonlinear dynamical systems (e.g. automatic ground vehicles, unmanned surface or underwater vessels and unmanned aerial vehicles), so as to enable early detection of faults and the take up of efficient restoration measures. To this end, the development of distributed nonlinear state estimation and distributed fault detection and isolation (FDI) tools is proposed. Chapter 4 proposes so-called logic-dynamic approach for fault diagnosis in industrial systems described by nonlinear dynamic models with non-differentiable nonlinearities. The approach allows solving the problem of fault diagnosis is nonlinear systems using well-known linear methods. In Chapter 5, observer design for nonlinear systems described by a Takagi-Sugeno model with unmeasurable premise variables is proposed. Furthermore, a fault tolerant controller is proposed for such a system in order to preserve some performances of the system by trajectory tracking in faulty situations. Chapter 6 explains and demonstrates the utilization of different nonlinear-dynamics-based procedures for the purposes of structural health monitoring as well as for monitoring of robot joints based on Vibration-based Health Monitoring (VHM) methods In Chapter 7, vibrations picked from spalled defective rolling element bearings is presented. It uses a four stage processing algorithm to detect and diagnose the defective component in rolling element. In Chapter 8, the problem of fault diagnosis with parity equations is considered for nonlinear dynamic systems whose models are taken in the form of ordinary differential equations. The active and passive approaches are involved to achieve the robustness of the diagnostic procedure Finally, Chapter 9 proposes a graphical method for diagnosis of nonlinear systems. The proposed method is based on a 2D signature obtained by measurements projection over some moving time-window. This projection highlights what happens inside the system and enables the diagnosis of abnormal behaviors. This book is suitable for advanced undergraduate students and postgraduate students. It takes a practical approach rather than a conceptual approach. It offers a truly reader-friendly way to get to the subject related to the semantic web, making it the ideal resources for any student who is new to this subject and providing a definitive guide to anyone in this vibrant and evolving discipline. This book is an invaluable companion for students from their first encounter with the subject to more advanced studies, while the high quality artworks are designed to present the key concepts with simplicity, clarity and consistency.

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

Majdi Mansouri,Mohamed-Faouzi Harkat,Hazem Nounou,Mohamed N. Nounou

Author : Majdi Mansouri,Mohamed-Faouzi Harkat,Hazem Nounou,Mohamed N. Nounou
Publisher : Elsevier
Page : 322 pages
File Size : 41,5 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

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems

Mohamed Benbouzid

Author : Mohamed Benbouzid
Publisher : IET
Page : 283 pages
File Size : 49,7 Mb
Release : 2020-12-09
Category : Technology & Engineering
ISBN : 9781785619571

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Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems by Mohamed Benbouzid Pdf

This book contains 5 chapters that discusses the following topics: Parametric signal processing approach; The signal demodulation techniques; Kullback-Leibler divergence for incipient fault diagnosis; Higher-order spectra and Fault detection and diagnosis based on principal component analysis.

Fault Detection

Fausto Pedro García Márquez,Mayorkinos Papaelias

Author : Fausto Pedro García Márquez,Mayorkinos Papaelias
Publisher : Unknown
Page : 267 pages
File Size : 54,9 Mb
Release : 2013
Category : Technology & Engineering
ISBN : 1629480312

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Fault Detection by Fausto Pedro García Márquez,Mayorkinos Papaelias Pdf

This book synthesizes the principles of fault detection with a focus on interfaces between the main disciplines of methods/technologies and industrial systems. It is complementary to other sub-disciplines such as maintenance, engineering, safety, risk analysis, etc. This book is intended for engineers, economists, technical consultants, researchers, etc. who are involved in the advancement of fault detection, and for those who incorporate fault detection in their work. The authors of this volume describe their pioneering work in the area and provide material from case studies that successfully applied the fault detection discipline in real life cases. Some topics discussed include condition monitoring of wind turbines; induction motor fault detection based on vibration analysis and support vector machines; failure detection and accommodation approaches for the airspeed sensor on a small UAV; and model-based fault diagnosis for industrial mobile robots.

Data-Driven Fault Detection and Reasoning for Industrial Monitoring

Jing Wang,Jinglin Zhou,Xiaolu Chen

Author : Jing Wang,Jinglin Zhou,Xiaolu Chen
Publisher : Springer Nature
Page : 277 pages
File Size : 49,6 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 Methods for Fault Detection and Diagnosis in Chemical Processes

Evan L. Russell,Leo H. Chiang,Richard D. Braatz

Author : Evan L. Russell,Leo H. Chiang,Richard D. Braatz
Publisher : Springer Science & Business Media
Page : 193 pages
File Size : 43,8 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-Diagnosis Applications

Rolf Isermann

Author : Rolf Isermann
Publisher : Springer Science & Business Media
Page : 354 pages
File Size : 53,9 Mb
Release : 2011-04-06
Category : Technology & Engineering
ISBN : 9783642127670

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Fault-Diagnosis Applications by Rolf Isermann Pdf

Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes and vehicles in order to improve reliability, availability, maintenance and lifetime. For safety-related processes fault-tolerant systems with redundancy are required in order to reach comprehensive system integrity. This book is a sequel of the book “Fault-Diagnosis Systems” published in 2006, where the basic methods were described. After a short introduction into fault-detection and fault-diagnosis methods the book shows how these methods can be applied for a selection of 20 real technical components and processes as examples, such as: Electrical drives (DC, AC) Electrical actuators Fluidic actuators (hydraulic, pneumatic) Centrifugal and reciprocating pumps Pipelines (leak detection) Industrial robots Machine tools (main and feed drive, drilling, milling, grinding) Heat exchangers Also realized fault-tolerant systems for electrical drives, actuators and sensors are presented. The book describes why and how the various signal-model-based and process-model-based methods were applied and which experimental results could be achieved. In several cases a combination of different methods was most successful. The book is dedicated to graduate students of electrical, mechanical, chemical engineering and computer science and for engineers.

Fault Detection, Diagnosis and Prognosis

Fausto Pedro García Márquez

Author : Fausto Pedro García Márquez
Publisher : BoD – Books on Demand
Page : 177 pages
File Size : 52,9 Mb
Release : 2020-02-05
Category : Mathematics
ISBN : 9781789842135

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Fault Detection, Diagnosis and Prognosis by Fausto Pedro García Márquez Pdf

This book presents the main concepts, state of the art, advances, and case studies of fault detection, diagnosis, and prognosis. This topic is a critical variable in industry to reach and maintain competitiveness. Therefore, proper management of the corrective, predictive, and preventive politics in any industry is required. This book complements other subdisciplines such as economics, finance, marketing, decision and risk analysis, engineering, etc. The book presents real case studies in multiple disciplines. It considers the main topics using prognostic and subdiscipline techniques. It is essential to link these topics with the areas of finance, scheduling, resources, downtime, etc. to increase productivity, profitability, maintainability, reliability, safety, and availability, and reduce costs and downtime. Advances in mathematics, modeling, computational techniques, dynamic analysis, etc. are employed analytically. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support the analysis of prognostic problems with defined constraints and requirements. The book is intended for graduate students and professionals in industrial engineering, business administration, industrial organization, operations management, applied microeconomics, and the decisions sciences, either studying maintenance or needing to solve large, specific, and complex maintenance management problems as part of their jobs. The work will also be of interest to researches from academia.

Model-Based Fault Diagnosis Techniques

Steven X. Ding

Author : Steven X. Ding
Publisher : Springer Science & Business Media
Page : 504 pages
File Size : 54,8 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.

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

Hamid Reza Karimi

Author : Hamid Reza Karimi
Publisher : Elsevier
Page : 419 pages
File Size : 42,7 Mb
Release : 2021-06-14
Category : Technology & Engineering
ISBN : 9780128224731

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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems by Hamid Reza Karimi Pdf

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimentally exploring emerging trends in fault diagnosis and failure prognosis in mechanical, electrical, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault tolerant control, and failure prognosis problems of engineering systems. Sections present new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems. Sections focus on the development of mathematical methodologies for diagnosis and prognosis of faults or failures, providing a unified platform for understanding and applicability of advanced diagnosis and prognosis methodologies for improving reliability purposes in both theory and practice, such as vehicles, manufacturing systems, circuits, flights, biomedical systems. This book will be a valuable resource for different groups of readers - mechanical engineers working on vehicle systems, electrical engineers working on rotary machinery systems, control engineers working on fault detection systems, mathematicians and physician working on complex dynamics, and many more. Presents recent advances of theory, technological aspects, and applications of advanced diagnosis and prognosis methodologies in engineering applications Provides a series of the latest results, including fault detection, isolation, fault tolerant control, failure prognosis of components, and more Gives numerical and simulation results in each chapter to reflect engineering practices

Fault Detection And Diagnosis In Industrial Systems

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

Fault Detection by Fausto Pedro García Márquez,Mayorkinos Papaelias Pdf

Fault-Diagnosis Systems by Rolf Isermann Pdf

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

Fault Detection and Diagnosis in Engineering Systems by Janos Gertler Pdf

Fault Diagnosis in Robotic and Industrial Systems by Gerasimos G. Rigatos Pdf

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

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems by Mohamed Benbouzid Pdf

Fault Detection by Fausto Pedro García Márquez,Mayorkinos Papaelias Pdf

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

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

Fault-Diagnosis Applications by Rolf Isermann Pdf

Fault Detection, Diagnosis and Prognosis by Fausto Pedro García Márquez Pdf

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

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems by Hamid Reza Karimi Pdf

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