Big Data Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems is popular PDF and ePub book, written by Yaguo Lei in 2022-10-19, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Big Data Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems can be Read Online from any device for your convenience.
Big Data Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems Book PDF Summary
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
Detail Book of Big Data Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems PDF
- Author : Yaguo Lei
- Release : 19 October 2022
- Publisher : Springer Nature
- ISBN : 9789811691317
- Genre : Technology & Engineering
- Total Page : 292 pages
- Language : English
- PDF File Size : 7,7 Mb
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