Advances in Fault Detection and Diagnosis Using Filtering Analysis
Advances in Fault Detection and Diagnosis Using Filtering Analysis
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Author(s): Wang, Ziyun
ISBN No.: 9789811659584
Pages: xxi, 176
Year: 202110
Format: Trade Cloth (Hard Cover)
Price: $ 196.08
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.


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