Filter Based Fault Diagnosis and Remaining Useful Life Prediction is popular PDF and ePub book, written by Yong Zhang in 2023-02-09, 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, Filter Based Fault Diagnosis and Remaining Useful Life Prediction can be Read Online from any device for your convenience.
Filter Based Fault Diagnosis and Remaining Useful Life Prediction Book PDF 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. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.
Detail Book of Filter Based Fault Diagnosis and Remaining Useful Life Prediction PDF
- Author : Yong Zhang
- Release : 09 February 2023
- Publisher : CRC Press
- ISBN : 9781000835946
- Genre : Technology & Engineering
- Total Page : 290 pages
- Language : English
- PDF File Size : 16,5 Mb
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