A Model-Based Method for Remaining Useful Life Prediction of Machinery

CATEGORY: REMAINING USEFUL LIFE
A Model-Based Method for Remaining Useful Life Prediction of Machinery

Type	Journal Article
Author	Y. Lei
Author	N. Li
URL	http://ieeexplore.ieee.org/abstract/document/7501892/
Volume	65
Issue	3
Pages	1314-1326
Publication	IEEE Transactions on Reliability
Date	Sept 2016
Abstract	Remaining useful life (RUL) prediction allows for predictive maintenance of machinery. Authors present a model-based method for predicting RUL of machinery. The method includes two modules, i.e., indicator construction and RUL prediction. In the first module, a new health indicator named weighted minimum quantization error is constructed, which fuses mutual information from multiple features and properly correlates to the degradation processes of machinery. In the second module, model parameters are initialized using the maximum-likelihood estimation algorithm and RUL is predicted using a particle filtering-based algorithm. The method is demonstrated using vibration signals from accelerated degradation tests of rolling element bearings.