Advances in Fault Detection and Diagnosis Using Filtering Analysis

Ziyun Wang

ISBN 10: 9811659613 / ISBN 13: 9789811659614

Published by Springer, Springer, 2022

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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 powerconverter, 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.

Seller Inventory # 9789811659614

Bibliographic Details

• Title: Advances in Fault Detection and Diagnosis Using Filtering Analysis
• Publisher: Springer, Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 9811659613
• ISBN 13: 9789811659614
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 12D millimeters 235 millimeters width by 155 millimeters height by 12 millimeters depth
• Weight: 312 grams

About this title

Synopsis

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.

About the Author

Prof. ​Ziyun Wang, his research interests include fault detection and fault diagnosis, filtering technique, power converter analysis, mobile robot control, wind turbine analysis. More than 20 articles have been published in the fault detection and filtering area.

Prof. Yan Wang, her research interests include system identification, fault detection, energy-efficient control of complex manufacturing system, industrial networked system, evolutionary computing. More than 20 articles have been published in the fault detection and filtering area.

Prof. Zhicheng Ji, his research interests include filtering technique, morden control theory, industrial networked system, optimal control of complex manufacturing system. More than 40 articles have been published in the fault detection and filtering area.