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Model-based fault diagnosis = method...

Wang, Zhenhua.

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Model-based fault diagnosis = methods for state-space systems /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Model-based fault diagnosis/ by Zhenhua Wang, Yi Shen.
其他題名:	methods for state-space systems /
作者:	Wang, Zhenhua.
其他作者:	Shen, Yi.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xv, 200 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Modelling for Fault Diagnosis -- Observer-Based Residual Generation -- Robust Residual Generation Based on Unknown Input Observer -- Optimal Robust Residual Generation -- Residual Evaluation Based on Threshold Computation -- Fault Isolation Based on Structured Residual Generation -- Fault Isolation Based on Directional Residual Generation -- Observer-Based Fault Estimation -- Kalman Filter-Based Fault Diagnosis -- Parity Space Approaches.
Contained By:	Springer Nature eBook
標題:	Fault location (Engineering) -
電子資源:	https://doi.org/10.1007/978-981-19-6706-1
ISBN:	9789811967061

Model-based fault diagnosis = methods for state-space systems /
Wang, Zhenhua.

Model-based fault diagnosismethods for state-space systems /[electronic resource] :by Zhenhua Wang, Yi Shen. - Singapore :Springer Nature Singapore :2023. - xv, 200 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v. 2212198-4190 ;. - Studies in systems, decision and control ;v. 221..

Introduction -- Modelling for Fault Diagnosis -- Observer-Based Residual Generation -- Robust Residual Generation Based on Unknown Input Observer -- Optimal Robust Residual Generation -- Residual Evaluation Based on Threshold Computation -- Fault Isolation Based on Structured Residual Generation -- Fault Isolation Based on Directional Residual Generation -- Observer-Based Fault Estimation -- Kalman Filter-Based Fault Diagnosis -- Parity Space Approaches.

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.

ISBN: 9789811967061

Standard No.: 10.1007/978-981-19-6706-1doiSubjects--Topical Terms:

649702
Fault location (Engineering)

LC Class. No.: TA169.6

Dewey Class. No.: 620.0044

Model-based fault diagnosis = methods for state-space systems /
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505 0 $a Introduction -- Modelling for Fault Diagnosis -- Observer-Based Residual Generation -- Robust Residual Generation Based on Unknown Input Observer -- Optimal Robust Residual Generation -- Residual Evaluation Based on Threshold Computation -- Fault Isolation Based on Structured Residual Generation -- Fault Isolation Based on Directional Residual Generation -- Observer-Based Fault Estimation -- Kalman Filter-Based Fault Diagnosis -- Parity Space Approaches.
520 $a 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.
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