Research on the Remaining Service Life Prediction of Mechanical Equipment Based on Similarity Principle

Abstract

In view of problem that remaining service life of complex mechanical equipment was difficult to predict, an approach for remaining service life prediction based on similarity was presented. Feature extraction method was established based on correlation analysis, reference remaining service life and its weight can be determined by computing similarity of the relevant feature between sample data and prediction data. Finally, remaining service life can be obtained by calculating weighted sum of the reference remaining service life. Experiment results show that the proposed approach can effectively extract feature which can precisely reflect variation trend of the remaining service life of bearing, and can more effectively predict remaining service life of bearing with accuracy rate of 82.2%, and provides a scientific basis for life management of related equipment.