Fault Diagnosis Systems

An Introduction from Fault Detection to Fault Tolerance Rolf Isermann ... control systems in high-cost and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role.

Author: Rolf Isermann

Publisher: Springer Science & Business Media

ISBN: 9783540303688

Category: Technology & Engineering

Page: 475

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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.
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Fault Diagnosis

(1998) presented the application of neural networks to the fault diagnosis of hydraulic actuators. They showed that experimental faults can be diagnosed by neural networks trained on simulation data only. In turn, Weerasinghe et al.

Author: Józef Korbicz

Publisher: Springer Science & Business Media

ISBN: 9783642186158

Category: Computers

Page: 922

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This comprehensive work presents the status and likely development of fault diagnosis, an emerging discipline of modern control engineering. It covers fundamentals of model-based fault diagnosis in a wide context, providing a good introduction to the theoretical foundation and many basic approaches of fault detection.
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Model based Fault Diagnosis Techniques

the model-based fault diagnosis technique is nowadays accepted as a powerful tool to solve fault diagnose problems in technical processes. Among the existing model-based fault diagnosis schemes, the so-called observer-based technique ...

Author: Steven X. Ding

Publisher: Springer Science & Business Media

ISBN: 9783540763048

Category: Technology & Engineering

Page: 473

View: 988

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The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms, and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers. This is a textbook with extensive examples and references. Most methods are given in the form of an algorithm that enables a direct implementation in a programme. Comparisons among different methods are included when possible.
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Advanced Automotive Fault Diagnosis 4th ed

6.19.3 Exhaust and air supply fault diagnosis table 1 6.19.4 Exhaust fault diagnosis table 2 Cooling 6.20.1 Air-cooled system 6.20.2 Water-cooled system 6.20.3 Sealed and semi-sealed systems Diagnostics – cooling 6.21.1 Systematic ...

Author: Tom Denton

Publisher: Routledge

ISBN: 9781317931225

Category: Technology & Engineering

Page: 352

View: 653

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Learn all the skills you need to pass Level 3 and 4 Vehicle Diagnostic courses from IMI, City and Guilds and BTEC, as well as higher levels, ASE, AUR and other qualifications. Advanced Automotive Fault Diagnosis explains the fundamentals of vehicle systems and components and examines diagnostic principles as well as the latest techniques employed in effective vehicle maintenance and repair. Diagnostics, or fault finding, is an essential part of an automotive technician's work, and as automotive systems become increasingly complex there is a greater need for good diagnostics skills. For students new to the subject, this book will help to develop these skills, but it will also assist experienced technicians to further improve their performance and keep up with recent industry developments. Checked and endorsed by the Institute of to him to ensure that it is ideal for both independent and tutor-based study Diagnostics case studies to help you put the principles covered into real-life context Useful margin features throughout, including definitions, key facts and 'safety first' considerations
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Solving Fault Diagnosis Problems

Fault. Diagnosis. In this chapter we describe first the basic fault monitoring tasks, such as fault detection, fault isolation, fault estimation and fault identification. The concepts of fault detectability and fault isolability are ...

Author: Andreas Varga

Publisher: Springer

ISBN: 9783319515595

Category: Technology & Engineering

Page: 394

View: 266

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This book addresses fault detection and isolation topics from a computational perspective. Unlike most existing literature, it bridges the gap between the existing well-developed theoretical results and the realm of reliable computational synthesis procedures. The model-based approach to fault detection and diagnosis has been the subject of ongoing research for the past few decades. While the theoretical aspects of fault diagnosis on the basis of linear models are well understood, most of the computational methods proposed for the synthesis of fault detection and isolation filters are not satisfactory from a numerical standpoint. Several features make this book unique in the fault detection literature: Solution of standard synthesis problems in the most general setting, for both continuous- and discrete-time systems, regardless of whether they are proper or not; consequently, the proposed synthesis procedures can solve a specific problem whenever a solution exists Emphasis on the best numerical algorithms to solve the synthesis problems for linear systems in generalized state-space form (also known as descriptor systems) Development of general synthesis procedures relying on new computational paradigms, such as factorization-based design based on filter updating techniques and nullspace-based synthesis Availability of a comprehensive set of free accompanying software tools for descriptor systems, which allows readers to easily implement all synthesis procedures presented in the book and ensures that all results are reproducible This book is primarily intended for researchers and advanced graduate students in the areas of fault diagnosis and fault-tolerant control. It will also appeal to mathematicians with an interest in control-oriented numerics.
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Sensors Fault Diagnosis Trends and Applications

Zhang, X.; Wang, L.; Miao, Q. Fault diagnosis techniques for planetary gearboxes under variable conditions: A review. In Proceedings of the 2016 Prognostics and System Health Management Conference (PHM-Chengdu), Chengdu, China, ...

Author: Piotr Witczak

Publisher: MDPI

ISBN: 9783036510484

Category: Technology & Engineering

Page: 236

View: 394

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Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.
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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

[9] used a wavelet transform spectrum of the vibration signal as the input of CNN for fault diagnosis of rolling bearing. Kou et al. [16] developed a CNN-based fault diagnosis method for bearing working under different working ...

Author: Hamid Reza Karimi

Publisher: Academic Press

ISBN: 9780128224885

Category: Technology & Engineering

Page: 419

View: 352

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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
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A Neutrosophic Set Based Fault Diagnosis Method Based on Multi Stage Fault Template Data

In addition, there have been several research works based on the use of acoustic signals [26–28] for the fault diagnosis of rotating machines. Lee et al. [29] presented a power transformer fault diagnosis method based on set pair ...

Author: Wen Jiang

Publisher: Infinite Study


Category: Mathematics

Page: 16

View: 229

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In this paper, a neutrosophic set based fault diagnosis method based on multi-stage fault template data is proposed to solve this problem. For an unknown fault sample whose fault type is unknown and needs to be diagnosed, the neutrosophic set based on multi-stage fault template data is generated, and then the generated neutrosophic set is fused via the simplified neutrosophic weighted averaging (SNWA) operator.
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Fault Diagnosis of Analog Integrated Circuits

Based on the back propagation paradigm, several authors studied analog fault diagnosis [80] [92][93][94][95]. Rutkowski [80] employed back-propagation network for locating faults in a non-linear dc circuit. Yu et al.

Author: Prithviraj Kabisatpathy

Publisher: Springer Science & Business Media

ISBN: 9780387257433

Category: Technology & Engineering

Page: 182

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Enables the reader to test an analog circuit that is implemented either in bipolar or MOS technology. Examines the testing and fault diagnosis of analog and analog part of mixed signal circuits. Covers the testing and fault diagnosis of both bipolar and Metal Oxide Semiconductor (MOS) circuits and introduces . Also contains problems that can be used as quiz or homework.
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Fault Diagnosis and Sustainable Control of Wind Turbines

Compared with similar methods proposed in the literature, the nonlinear adaptive fault diagnosis and accommodation techniques described here have the advantage of being applicable to more general classes of nonlinear systems and less ...

Author: Silvio Simani

Publisher: Butterworth-Heinemann

ISBN: 9780128129852

Category: Technology & Engineering

Page: 228

View: 843

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Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies discusses the development of reliable and robust fault diagnosis and fault-tolerant (‘sustainable’) control schemes by means of data-driven and model-based approaches. These strategies are able to cope with unknown nonlinear systems and noisy measurements. The book also discusses simpler solutions relying on data-driven and model-based methodologies, which are key when on-line implementations are considered for the proposed schemes. The book targets both professional engineers working in industry and researchers in academic and scientific institutions. In order to improve the safety, reliability and efficiency of wind turbine systems, thus avoiding expensive unplanned maintenance, the accommodation of faults in their early occurrence is fundamental. To highlight the potential of the proposed methods in real applications, hardware–in–the–loop test facilities (representing realistic wind turbine systems) are considered to analyze the digital implementation of the designed solutions. The achieved results show that the developed schemes are able to maintain the desired performances, thus validating their reliability and viability in real-time implementations. Different groups of readers—ranging from industrial engineers wishing to gain insight into the applications' potential of new fault diagnosis and sustainable control methods, to the academic control community looking for new problems to tackle—will find much to learn from this work. Provides wind turbine models with varying complexity, as well as the solutions proposed and developed by the authors Addresses in detail the design, development and realistic implementation of fault diagnosis and fault tolerant control strategies for wind turbine systems Addresses the development of sustainable control solutions that, in general, do not require the introduction of further or redundant measurements Proposes active fault tolerant ('sustainable') solutions that are able to maintain the wind turbine working conditions with gracefully degraded performance before required maintenance can occur Presents full coverage of the diagnosis and fault tolerant control problem, starting from the modeling and identification and finishing with diagnosis and fault tolerant control approaches Provides MATLAB and Simulink codes for the solutions proposed
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