State Estimation and Fault Diagnosis under Imperfect Measurements

2022-08-31
State Estimation and Fault Diagnosis under Imperfect Measurements

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  • Author: Yang Liu
  • Publisher: CRC Press
  • ISBN: 1000641112
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 277

The objective of this book is to present the up-to-date research developments and novel methodologies on state estimation and fault diagnosis (FD) techniques for a class of complex systems subject to closed-loop control, nonlinearities, and stochastic phenomena. It covers state estimation design methodologies and FD unit design methodologies including framework of optimal filter and FD unit design, robust filter and FD unit design, stability, and performance analysis for the considered systems subject to various kinds of complex factors. Features: Reviews latest research results on the state estimation and fault diagnosis issues. Presents comprehensive framework constituted for systems under imperfect measurements. Includes quantitative performance analyses to solve problems in practical situations. Provides simulation examples extracted from practical engineering scenarios. Discusses proper and novel techniques such as the Carleman approximation and completing the square method is employed to solve the mathematical problems. This book aims at Graduate students, Professionals and Researchers in Control Science and Application, Stochastic Process, Fault Diagnosis, and Instrumentation and Measurement.

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

2023-02-09
Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

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  • Author: Yong Zhang
  • Publisher: CRC Press
  • ISBN: 1000835944
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 290

This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

Model-Based Fault Diagnosis

2022-10-28
Model-Based Fault Diagnosis

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  • Author: Zhenhua Wang
  • Publisher: Springer Nature
  • ISBN: 9811967067
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 207

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.

Filter Design for System Modeling, State Estimation and Fault Diagnosis

2022-10
Filter Design for System Modeling, State Estimation and Fault Diagnosis

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  • Author: Ziyun Wang
  • Publisher: CRC Press
  • ISBN: 9781003327219
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 0

"This book analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects. The book also includes fault diagnosis techniques for unknown but bounded systems, their real applications on modeling and fault diagnosis for lithium battery systems, DC-DC converters, and spring damping systems. It proposes new methods based on zonotopic Kalman filtering, a variety of state estimation methods of zonotope and its derived algorithms, a state estimation method based on convex space, set inversion interval observer filtering-based guaranteed fault estimation and a novel interval observer filtering-based fault diagnosis. The methods presented in this book are more practical than the common probabilistic based algorithms, since these can be applied in unknown but bounded noisy environments. This book will be an essential read for students, scholars and engineering professionals who are interested in filter design, system modeling, state estimation, fault diagnosis, and related fields"--

Power System State Estimation

2013
Power System State Estimation

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  • Author: Mukhtar Ahmad
  • Publisher: Artech House
  • ISBN: 1608075117
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 208

State estimation is one of the most important functions in power system operation and control. This area is concerned with the overall monitoring, control, and contingency evaluation of power systems. It is mainly aimed at providing a reliable estimate of system voltages. State estimator information flows to control centers, where critical decisions are made concerning power system design and operations. This valuable resource provides thorough coverage of this area, helping professionals overcome challenges involving system quality, reliability, security, stability, and economy. Engineers are introduced to new techniques for their work in the field, including current measurements and phasor measurement units. Moreover, the book includes a novel discussion on state estimation for distributed systems. Professionals find expert guidance for their current projects and discover cutting-edge developments that will help prepare them for work with future energy management systems.

Advances in State Estimation, Diagnosis and Control of Complex Systems

2018
Advances in State Estimation, Diagnosis and Control of Complex Systems

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  • Author: Ye Wang
  • Publisher:
  • ISBN:
  • Category :
  • Languages : en
  • Pages : 303

Dissertation Abstracts International

2005
Dissertation Abstracts International

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  • Author:
  • Publisher:
  • ISBN:
  • Category : Dissertations, Academic
  • Languages : en
  • Pages : 860

Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems

2013-12-11
Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems

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  • Author: Marcin Witczak
  • Publisher: Springer Science & Business Media
  • ISBN: 3319030140
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 229

This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models. This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.

Optimal State Estimation

2006-06-19
Optimal State Estimation

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  • Author: Dan Simon
  • Publisher: John Wiley & Sons
  • ISBN: 0470045337
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 554

A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: * Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation * Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice * MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries.

Power System State Estimation

2004-03-24
Power System State Estimation

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  • Author: Ali Abur
  • Publisher: CRC Press
  • ISBN: 9780203913673
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 350

Offering an up-to-date account of the strategies utilized in state estimation of electric power systems, this text provides a broad overview of power system operation and the role of state estimation in overall energy management. It uses an abundance of examples, models, tables, and guidelines to clearly examine new aspects of state estimation, the testing of network observability, and methods to assure computational efficiency. Includes numerous tutorial examples that fully analyze problems posed by the inclusion of current measurements in existing state estimators and illustrate practical solutions to these challenges. Written by two expert researchers in the field, Power System State Estimation extensively details topics never before covered in depth in any other text, including novel robust state estimation methods, estimation of parameter and topology errors, and the use of ampere measurements for state estimation. It introduces various methods and computational issues involved in the formulation and implementation of the weighted least squares (WLS) approach, presents statistical tests for the detection and identification of bad data in system measurements, and reveals alternative topological and numerical formulations for the network observability problem.