Share
Advances in Fault Detection and Diagnosis Using Filtering Analysis
Yan Wang
(Author)
·
Ziyun Wang
(Author)
·
Zhicheng Ji
(Author)
·
Springer
· Paperback
Advances in Fault Detection and Diagnosis Using Filtering Analysis - Wang, Ziyun ; Wang, Yan ; Ji, Zhicheng
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Thursday, July 18 and
Thursday, July 25.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.