Model Based Fault Diagnosis And Prognosis Of Nonlinear Systems

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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

Author : Hamid Reza Karimi
Publisher : Elsevier
ISBN 13 : 0128224738
Total Pages : 419 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems by : Hamid Reza Karimi

Download or read book Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems written by Hamid Reza Karimi and published by Elsevier. This book was released on 2021-06-14 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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

Author : Majdi Mansouri
Publisher : Elsevier
ISBN 13 : 0128191651
Total Pages : 324 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data-Driven and Model-Based Methods for Fault Detection and Diagnosis by : Majdi Mansouri

Download or read book Data-Driven and Model-Based Methods for Fault Detection and Diagnosis written by Majdi Mansouri and published by Elsevier. This book was released on 2020-02-05 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach

Author : Ehsan Sobhani-Tehrani
Publisher : Springer
ISBN 13 : 038792907X
Total Pages : 275 pages
Book Rating : 4.3/5 (879 download)

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Book Synopsis Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach by : Ehsan Sobhani-Tehrani

Download or read book Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach written by Ehsan Sobhani-Tehrani and published by Springer. This book was released on 2009-06-06 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theincreasingcomplexityofspacevehiclessuchassatellites,andthecostreduction measures that have affected satellite operators are increasingly driving the need for more autonomy in satellite diagnostics and control systems. Current methods for detecting and correcting anomalies onboard the spacecraft as well as on the ground are primarily manual and labor intensive, and therefore, tend to be slow. Operators inspect telemetry data to determine the current satellite health. They use various statisticaltechniques andmodels,buttheanalysisandevaluation ofthelargevolume of data still require extensive human intervention and expertise that is prone to error. Furthermore, for spacecraft and most of these satellites, there can be potentially unduly long delays in round-trip communications between the ground station and the satellite. In this context, it is desirable to have onboard fault-diagnosis system that is capable of detecting, isolating, identifying or classifying faults in the system withouttheinvolvementandinterventionofoperators.Towardthisend,theprinciple goal here is to improve the ef?ciency, accuracy, and reliability of the trend analysis and diagnostics techniques through utilization of intelligent-based and hybrid-based methodologies.

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

Author : Hamid Reza Karimi
Publisher : Academic Press
ISBN 13 : 0128224886
Total Pages : 421 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems by : Hamid Reza Karimi

Download or read book Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems written by Hamid Reza Karimi and published by Academic Press. This book was released on 2021-06-05 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

Author : Silvio Simani
Publisher : Springer Science & Business Media
ISBN 13 : 1447138295
Total Pages : 294 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by : Silvio Simani

Download or read book Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques written by Silvio Simani and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic

Author : Zuolu Wang
Publisher : Springer Nature
ISBN 13 : 3031734076
Total Pages : 634 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic by : Zuolu Wang

Download or read book Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic written by Zuolu Wang and published by Springer Nature. This book was released on with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model-Based Fault Diagnosis Techniques

Author : Steven X. Ding
Publisher : Springer Science & Business Media
ISBN 13 : 1447147995
Total Pages : 533 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Model-Based Fault Diagnosis Techniques by : Steven X. Ding

Download or read book Model-Based Fault Diagnosis Techniques written by Steven X. Ding and published by Springer Science & Business Media. This book was released on 2012-12-20 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Józef Korbicz
Publisher : Springer Science & Business Media
ISBN 13 : 3642186157
Total Pages : 936 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Fault Diagnosis by : Józef Korbicz

Download or read book Fault Diagnosis written by Józef Korbicz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 936 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Robust Model-Based Fault Diagnosis for Dynamic Systems

Author : Jie Chen
Publisher : Springer Science & Business Media
ISBN 13 : 1461551498
Total Pages : 370 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Robust Model-Based Fault Diagnosis for Dynamic Systems by : Jie Chen

Download or read book Robust Model-Based Fault Diagnosis for Dynamic Systems written by Jie Chen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an increasing demand for dynamic systems to become more safe and reliable. This requirement extends beyond the normally accepted safety-critical systems of nuclear reactors and aircraft where safety is paramount important, to systems such as autonomous vehicles and fast railways where the system availability is vital. It is clear that fault diagnosis (including fault detection and isolation, FDI) has been becoming an important subject in modern control theory and practice. For example, the number of papers on FDI presented in many control-related conferences has been increasing steadily. The subject of fault detection and isolation continues to mature to an established field of research in control engineering. A large amount of knowledge on model-based fault diagnosis has been ac cumulated through the literature since the beginning of the 1970s. However, publications are scattered over many papers and a few edited books. Up to the end of 1997, there is no any book which presents the subject in an unified framework. The consequence of this is the lack of "common language", dif ferent researchers use different terminology. This problem has obstructed the progress of model-based FDI techniques and has been causing great concern in research community. Many survey papers have been published to tackle this problem. However, a book which presents the materials in a unified format and provides a comprehensive foundation of model-based FDI is urgently needed.

Fault-Diagnosis Systems

Author : Rolf Isermann
Publisher : Springer Science & Business Media
ISBN 13 : 3540303685
Total Pages : 478 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Fault-Diagnosis Systems by : Rolf Isermann

Download or read book Fault-Diagnosis Systems written by Rolf Isermann and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Model-Based Fault Diagnosis

Author : Zhenhua Wang
Publisher : Springer Nature
ISBN 13 : 9811967067
Total Pages : 207 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Model-Based Fault Diagnosis by : Zhenhua Wang

Download or read book Model-Based Fault Diagnosis written by Zhenhua Wang and published by Springer Nature. This book was released on 2022-10-28 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates in detail model-based fault diagnosis methods, including observer-based residual generation, residual evaluation based on threshold computation, observer-based fault isolation strategies, observer-based fault estimation, Kalman filter-based fault diagnosis methods, and parity space approach. Studies on model-based fault diagnosis have attracted engineers and scientists from various disciplines, such as electrical, aerospace, mechanical, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of state-space approach. The methods introduced in the book are systemic and easy to follow. The book is intended for undergraduate and graduate students who are interested in fault diagnosis and state estimation, researchers investigating fault diagnosis and fault-tolerant control, and control system design engineers working on safety-critical systems.

Fault Detection, Diagnosis and Prognosis

Author : Fausto Pedro García Márquez
Publisher : BoD – Books on Demand
ISBN 13 : 1789842131
Total Pages : 177 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Fault Detection, Diagnosis and Prognosis by : Fausto Pedro García Márquez

Download or read book Fault Detection, Diagnosis and Prognosis written by Fausto Pedro García Márquez and published by BoD – Books on Demand. This book was released on 2020-02-05 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

eMaintenance

Author : Diego Galar
Publisher : Academic Press
ISBN 13 : 0128111542
Total Pages : 554 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis eMaintenance by : Diego Galar

Download or read book eMaintenance written by Diego Galar and published by Academic Press. This book was released on 2017-06-15 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: eMaintenance: Essential Electronic Tools for Efficiency enables the reader to improve efficiency of operations, maintenance staff, infrastructure managers and system integrators, by accessing a real time computerized system from data to decision. In recent years, the exciting possibilities of eMaintenance have become increasingly recognized as a source of productivity improvement in industry. The seamless linking of systems and equipment to control centres for real time reconfiguring is improving efficiency, reliability, and sustainability in a variety of settings. The book provides an introduction to collecting and processing data from machinery, explains the methods of overcoming the challenges of data collection and processing, and presents tools for data driven condition monitoring and decision making. This is a groundbreaking handbook for those interested in the possibilities of running a plant as a smart asset. - Provides an introduction to collecting and processing data from machinery - Explains how to use sensor-based tools to increase efficiency of diagnosis, prognosis, and decision-making in maintenance - Describes methods for overcoming the challenges of data collection and processing

Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019)

Author : Rui Wang
Publisher : Springer Nature
ISBN 13 : 9811504741
Total Pages : 1340 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019) by : Rui Wang

Download or read book Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019) written by Rui Wang and published by Springer Nature. This book was released on 2019-12-03 with total page 1340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed research papers from the 11th International Conference on Modelling, Identification and Control (ICMIC2019), held in Tianjin, China on July 13-15, 2019. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence.The papers showcased here share the latest findings on methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book a valuable asset for researchers, engineers, and university students alike.

Diagnosis and Fault-Tolerant Control

Author : Mogens Blanke
Publisher : Springer Science & Business Media
ISBN 13 : 3540356533
Total Pages : 685 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Diagnosis and Fault-Tolerant Control by : Mogens Blanke

Download or read book Diagnosis and Fault-Tolerant Control written by Mogens Blanke and published by Springer Science & Business Media. This book was released on 2006-09-24 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents model-based analysis and design methods for fault diagnosis and fault-tolerant control. Architectural and structural models are used to analyse the propagation of the fault through the process, test fault detectability and reveal redundancies that can be used to ensure fault tolerance. Case studies demonstrate the methods presented. The second edition includes new material on reconfigurable control, diagnosis of nonlinear systems, and remote diagnosis, plus new examples and updated bibliography.

ICPER 2020

Author : Faiz Ahmad
Publisher : Springer Nature
ISBN 13 : 9811919399
Total Pages : 997 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis ICPER 2020 by : Faiz Ahmad

Download or read book ICPER 2020 written by Faiz Ahmad and published by Springer Nature. This book was released on 2022-10-03 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains papers presented in the 7th International Conference on Production, Energy and Reliability (ICPER 2020) under the banner of World Engineering, Science & Technology Congress (ESTCON2020) held from 14th to 16th July 2020 at Borneo Convention Centre, Kuching, Malaysia. The conference contains papers presented by academics and industrial practitioners showcasing their latest advancements and findings in mechanical engineering areas with an emphasis on sustainability and the Industrial Revolution 4.0. The papers are categorized under the following tracks and topics of research: IoT, Reliability and Simulation Advanced Materials, Corrosion and Autonomous Production Efficient Energy Systems and Thermofluids Production, Manufacturing and Automotive

Sensor Fault Diagnosis

Author : Vasso Reppa
Publisher : Now Publishers
ISBN 13 : 9781680831283
Total Pages : 264 pages
Book Rating : 4.8/5 (312 download)

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Book Synopsis Sensor Fault Diagnosis by : Vasso Reppa

Download or read book Sensor Fault Diagnosis written by Vasso Reppa and published by Now Publishers. This book was released on 2016-05-04 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in information and communication technologies, embedded systems and sensor networks have generated significant research activity in the development of so-called cyber-physical systems. An example of a large network of cyber-physical systems is a smart city with intelligent infrastructures for supporting the environment, energy and water distribution, transportation, telecommunication, health care, home automation, and so on. From a systems point of view, safety, reliability and fault tolerance become key challenges in designing cyber-physical systems. One of the major issues is detecting and correcting faults in the sensors that form a critical part of these networks and systems. For example, if two sensors should provide similar information, how do you know which one is at fault should their readings suddenly greatly differ? Sensor Fault Diagnosis addresses all the issues in sensor fault detection and isolation. It provides a clear tutorial on the challenges and models that can be used to address them. It describes, in detail, the requirements for modeling the systems, designing the architecture, detecting faults, isolating those faults, and presents learning techniques for enhancing performance. This monograph will appeal to all researchers and students working on large sensor networks and systems.