Fr. 242.40

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

English · Hardback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more










This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment.

List of contents










1. Introduction . 2. Filter/Estimator Design of Networked Multirate Sampled Systems with Network-induced Phenomena. 3. Fault Detection of Networked Multirate Systems with Filter-based Methods. 4. Fault Diagnosis of Multirate Time-varying Systems with Filter-based Methods. 5. Fault Diagnosis of Modular Multilevel Converters with Machine Learning Methods. 6. Remaining Useful Life Prediction of Industrial Components with Filterbased Methods. 7. Remaining Useful Life Prediction of Industrial Components with Machine Learning Methods. 8. Conclusions and Future Topics.


About the author










Yong Zhang

Summary

This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment.

Product details

Authors Zidong Wang, Zidong (Brunel Un. Wang, Ye Yuan, Ye (Huazhong Univ. of Science & Tech. Yuan, Yong Zhang, Yong (Wuhan Univ. Of Science & Tech. Zhang
Publisher Taylor & Francis Ltd.
 
Languages English
Product format Hardback
Released 10.02.2023
 
EAN 9781032362533
ISBN 978-1-0-3236253-3
No. of pages 262
Subject Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.