An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring

• Published in: Journal of intelligent manufacturing Vol. 23; no. 2; pp. 227 - 237
• Main Author: Tian, Zhigang
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.04.2012; Springer Nature B.V
• Subjects: Accuracy; Age; Analysis; Bearings; Business and Management; Case studies; Comparative studies; Control; Crack initiation; Failure; Intelligent systems; Machines; Maintenance costs; Maintenance management; Manufacturing; Mechatronics; Methods; Monitoring; Neural networks; Physics; Processes; Production; Robotics; Studies; Useful life; Artificial neural network; Remaining useful life; Prediction; Accurate; Bearing

Accurate equipment remaining useful life prediction is critical to effective condition based maintenance for improving reliability and reducing overall maintenance cost. In this paper, an artificial neural network (ANN) based method is developed for achieving more accurate remaining useful life pred...