Maintenance combines various methods, tools, and techniques in a bid to reduce maintenance costs while increasing the reliability, availability, and security of equipment. Condition-based maintenance (CBM) is one such method, and prognostics forms a key element of a CBM program based on mathematical models for predicting remaining useful life (RUL). Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence compares the techniques and models used to estimate the RUL of different assets, including a review of the relevant literature on prognostic techniques and their use in the industrial field. This book describes different approaches and prognosis methods for different assets backed up by appropriate case studies. FEATURES <ul> <li>Presents a compendium of RUL estimation methods and technologies used in predictive maintenance</li> <li>Describes different approaches and prognosis methods for different assets</li> <li>Includes a comprehensive compilation of methods from model-based and data-driven to hybrid</li> <li>Discusses the benchmarking of RUL estimation methods according to accuracy and uncertainty, depending on the target application, the type of asset, and the forecast performance expected</li> <li>Contains a toolset of methods and a way of deployment aimed at a versatile audience</li> </ul> This book is aimed at professionals, senior undergraduates, and graduate students in all interdisciplinary engineering streams that focus on prognosis and maintenance.

Prognostics and Remaining Useful Life (RUL) Estimation

Science & Math

SANDBORN, PETER

Goebel, Kai

Galar, Diego

Kumar, Uday

Astronomy & Space Science

CRC-Press

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.

Prognostics: The Science of Making Predictions

Daigle, Matt

Saxena, Abhinav

Sankararaman, Shankar

Roychoudhury, Indranil

Celaya, Jose

Technology

CreateSpace Independent Publishing Platform

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Books by Goebel, Kai