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Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and the Internet of Things

机译:预测和健康管理的电子产品:基本原理、机器学习和互联网的事情

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Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and the Internet of Things, by Pecht, Michael and Kang, Myeongsu, presents good technical insights into advance prognostics health management (PHM) and theories, which are suitable for both industry and academic practitioners. The authors provide insights into the broad values and technical applications of prognostics reliability and electronics health management principles in this book. While the book is written as a standard classroom textbook, it contains enough real-world references to highlight the book's practicality, including real-world examples on prognostics reliability monitor and solutions at the end of the book. The book's opening chapter presents a good understanding and underscores the fundamentals of electronics reliability and prognostics management, supporting it with examples of applications. Physics-of-failure approach(PoF) to prognostics health management and applications of machine learning in PHM are discussed in the subsequent chapters. Also contained in this chapter is a description of the adoption of PHM in the industry, e-Maintenance and internet-of-things (IoT) as well as future projections for its usage.
机译:预测和健康管理的电子产品:基本原理、机器学习和互联网的事情,Pecht,迈克尔和Kang Myeongsu,提供了良好的技术见解预测健康管理(榜单)和理论,既适用于工业和学术实践者。广泛的价值和技术的应用预测的可靠性和电子健康管理原则在这本书。书是写为一个标准的课堂教材,它包含足够的现实参考突出了本书的实用性,包括实际的例子对预测的可靠性监控和解决方案的书。书的开章提供了一个很好理解和下划线的基本面电子产品的可靠性和预测管理,支持的例子应用程序。预测健康管理和应用程序机器学习在榜单中讨论随后的章节。章的描述采用榜单在业界,e-Maintenance和物联网(物联网)以及未来预测它的用法。

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