Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment [electronic resource] / by Changhua Hu, Hongdong Fan, Zhaoqiang Wang.

Introduction -- Degradation modelling and remaining useful life estimation based on a nonlinear diffusion process -- Degradation modelling and remaining useful life estimation based on a Wiener process with change points -- Residual life prediction based on an inverse-Gaussian process -- Degradation modelling and remaining useful life prediction with support vector machines -- Degradation modelling and remaining useful life estimation based on a relative vector machine fuzzy model -- Performance degradation modelling and reliability prediction based on evidential reasoning approach -- Residual life prediction based on a weight selected particle filter -- Optimal inspection policy based on predicted life information for a deteriorating equipment -- Cooperative predictive maintenance of repairable systems with dependent failure modes and resource constraint.

This book addresses remaining life prediction and predictive maintenance of equipment. It systematically summarizes the key research findings made by the author and his team and focuses on how to create equipment performance degradation and residual life prediction models based on the performance monitoring data produced by currently used and historical equipment. Some of the theoretical results covered here have been used to make remaining life predictions and maintenance-related decisions for aerospace products such as gyros and platforms. Given its scope, the book offers a valuable reference guide for those pursuing theoretical or applied research in the areas of fault diagnosis and fault-tolerant control, remaining life prediction, and maintenance decision-making.