State Estimation and Fault Diagnosis under Imperfect Measurements

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

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

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.


Advances in Neural Networks - ISNN 2006

Advances in Neural Networks - ISNN 2006

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  • Author: Jun Wang
  • Publisher: Springer Science & Business Media
  • ISBN: 3540344373
  • Category : Computers
  • Languages : en
  • Pages : 1470

This is Volume II of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.


Filter Design for System Modeling, State Estimation and Fault Diagnosis

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"--


Advances in Safety, Reliability and Risk Management

Advances in Safety, Reliability and Risk Management

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  • Author: Christophe Berenguer
  • Publisher: CRC Press
  • ISBN: 0203135105
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 538

Advances in Safety, Reliability and Risk Management contains the papers presented at the 20th European Safety and Reliability (ESREL 2011) annual conference in Troyes, France, in September 2011. The books covers a wide range of topics, including: Accident and Incident Investigation; Bayesian methods; Crisis and Emergency Management; Decision Making


Advances in State Estimation, Diagnosis and Control of Complex Systems

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

Dissertation Abstracts International

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


Recent Advances in Control Problems of Dynamical Systems and Networks

Recent Advances in Control Problems of Dynamical Systems and Networks

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  • Author: Ju H. Park
  • Publisher: Springer Nature
  • ISBN: 3030491234
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 548

This edited book introduces readers to new analytical techniques and controller design schemes used to solve the emerging “hottest” problems in dynamic control systems and networks. In recent years, the study of dynamic systems and networks has faced major changes and challenges with the rapid advancement of IT technology, accompanied by the 4th Industrial Revolution. Many new factors that now have to be considered, and which haven’t been addressed from control engineering perspectives to date, are naturally emerging as the systems become more complex and networked. The general scope of this book includes the modeling of the system itself and uncertainty elements, examining stability under various criteria, and controller design techniques to achieve specific control objectives in various dynamic systems and networks. In terms of traditional stability matters, this includes the following special issues: finite-time stability and stabilization, consensus/synchronization, fault-tolerant control, event-triggered control, and sampled-data control for classical linear/nonlinear systems, interconnected systems, fractional-order systems, switched systems, neural networks, and complex networks. In terms of introducing graduate students and professional researchers studying control engineering and applied mathematics to the latest research trends in the areas mentioned above, this book offers an excellent guide.


Proceedings

Proceedings

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  • Author:
  • Publisher:
  • ISBN:
  • Category : Automatic test equipment
  • Languages : en
  • Pages : 868