Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence

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 which is based on mathematical models for predicting the remaining useful life (RUL). Current book compares the techniques and models used to estimate the RUL of different assets including review of the relevant literature on prognostic techniques and their use in the industrial field. It describes different approaches and prognosis methods for different assets backed up by appropriate case studies.

Presents compendium of Remaining Useful Life (RUL) estimation methods and technologies used in predictive maintenance.

Describes different approaches and prognosis methods for different assets.

Includes comprehensive compilation of methods from model based, data driven to hybrid.

Discusses benchmarking of RUL estimation methods according to accuracy an uncertainty depending on the target application, type of asset and forecast performance expected.

Contains toolset of methods and way of deployment aimed at versatile audience.

This book is aimed at Professionals, Senior undergraduate, Graduate students in all interdisciplinary engineering streams focusing on prognosis, maintenance.