Intelligent Prognostics for Engineering Systems with Machine Learning Techniques (Advanced Research in Reliability and System Assurance Engineering)

By: Gunjan Soni and Om Prakash Yadav and Gaurav Kumar Badhotiya and Mangey Ram

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Synopsis: The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science. The book Discusses basic as well as advance research in the field of prognostics. Explores integration of data collection, fault detection, degradation modeling and reliability prediction in one volume. Covers prognostics and health management (PHM) of engineering systems. Discusses latest approaches in the field of prognostics based on machine learning. The text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.

Book Quality:: Publisher Quality
Book Size:: 246 Pages
ISBN-13:: 9781000954104
Related ISBNs:: 9781032054360, 9781032562971, 9781003434849
Publisher:: CRC Press
Date of Addition:: 09/19/23
Copyrighted By:: selection and editorial matter Gunjan Soni, Om Prakash Yadav, Gaurav Kumar Badhotiya and Mangey Ram
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Technology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Gunjan Soni
Edited by:: Om Prakash Yadav
Edited by:: Gaurav Kumar Badhotiya
Edited by:: Mangey Ram