Model-based fault diagnosis : methods for state-space systems / Zhenhua Wang, Yi Shen.

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Model-based fault diagnosis : methods for state-space systems / Zhenhua Wang, Yi Shen.

9789811967061 (electronic bk.)
9811967067 (electronic bk.)
9789811967054 (print)

Singapore : Springer, [2023]

English

1 online resource (xv, 200 pages) : illustrations (some color).

10.1007/978-981-19-6706-1 doi

TA169.6

620/.0044

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.

Includes bibliographical references.

Access limited to authorized users.

Online resource; title from PDF title page (SpringerLink, viewed October 31, 2022).

Studies in systems, decision and control ; v. 221.

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