Prognostics (Paperback)

Matt Daigle

ISBN 10: 1539074838 / ISBN 13: 9781539074830

Published by Createspace Independent Publishing Platform, 2017

About this Item

Paperback. Prognostics is the science of making predictions of engineering systems. It is part of a suite of techniques that determine whether a system is behaving within nominal operational performance and - if it does not - that determine what is wrong and how long it will take until the system no longer fulfills certain functional requirements. This book presents the latest developments and research findings on the topic of prognostics by the Prognostics Center of Excellence at NASA Ames Research Center. The book is intended to provide a practitioner with an understanding of the foundational concepts as well as practical tools to perform prognostics and health management on different types of engineering systems and in particular to predict remaining useful life. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9781539074830

Bibliographic Details

• Title: Prognostics (Paperback)
• Publisher: Createspace Independent Publishing Platform
• Publication Date: 2017
• Language: English
• ISBN 10: 1539074838
• ISBN 13: 9781539074830
• Binding: Paperback
• Condition: new

About this title

Synopsis

Prognostics is the science of making predictions of engineering systems. It is part of a suite of techniques that determine whether a system is behaving within nominal operational performance and – if it does not – that determine what is wrong and how long it will take until the system no longer fulfills certain functional requirements. This book presents the latest developments and research findings on the topic of prognostics by the Prognostics Center of Excellence at NASA Ames Research Center. The book is intended to provide a practitioner with an understanding of the foundational concepts as well as practical tools to perform prognostics and health management on different types of engineering systems and in particular to predict remaining useful life.

About the Author

The authors (Kai Goebel, Matthew Daigle, Abhinav Saxena, Shankar Sankararaman, Indranil Roychoudhury and José Celaya) wrote this book as members of the Prognostics Center of Excellence at NASA Ames Research Center. They all have doctorates in engineering disciplines or computer science from universities in the USA (UC Berkeley, Vanderbilt, Georgia Tech, and Rensselaer Polytechnic Institute). They draw their experience from work in industry, academia, and government research.