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portada Advances in Fault Detection and Diagnosis Using Filtering Analysis
Type
Physical Book
Author
Publisher
Language
English
Pages
176
Format
Hardcover
Dimensions
23.4x15.6x1.3 cm
Weight
0.46 kg.
ISBN13
9789811659584
Categories

Advances in Fault Detection and Diagnosis Using Filtering Analysis

Yan Wang (Author) · Ziyun Wang (Author) · Zhicheng Ji (Author) · Springer · Hardcover

Advances in Fault Detection and Diagnosis Using Filtering Analysis - Wang, Ziyun ; Wang, Yan ; Ji, Zhicheng

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Synopsis "Advances in Fault Detection and Diagnosis Using Filtering Analysis"

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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