Intelligent Prognostics for Engineering Systems with Machine Learning Techniques
商品資訊
系列名：Advanced Research in Reliability and System Assura
ISBN13：9781032562971
出版社：PBKTYFRL
作者：Soni; Gunjan (MNIT; Jaipur; India); Yadav; Om Prakash (North Dakota State University; USA.); Badhotiya; Gaurav Kumar (Graphic Era Uni; Uttarakhand; India.); Ram; Mangey (Graphic Era Uni; India)
出版日：2024/12/19
裝訂／頁數：平裝／246頁
規格：15.6cm*23.4cm (高/寬)
商品簡介
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.
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