Skip to main content

Springer

Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

No reviews yet
Product Code: 9789811691331
ISBN13: 9789811691331
Condition: New
$117.02

Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

$117.02
 
This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era. Features: Addresses the critical challenges in the field of PHM at present Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis Provides abundant experimental validations and engineering cases of the presented methodologies


Author: Yaguo Lei, Naipeng Li, Xiang Li
Publisher: Springer
Publication Date: Oct 21, 2023
Number of Pages: NA pages
Language: English
Binding: Paperback
ISBN-10: 9811691339
ISBN-13: 9789811691331
 

Customer Reviews

This product hasn't received any reviews yet. Be the first to review this product!

Faster Shipping

Delivery in 3-8 days

Easy Returns

14 days returns

Discount upto 30%

Monthly discount on books

Outstanding Customer Service

Support 24 hours a day