Application and Study on the Models of Predicting Wear Failure in the Mechanical Equipment

摘要

According to statistics, the mechanical failure caused by wear takes up eighty percent of the total failure, wear failure is the main form. Therefore, monitoring the wear condition of mechanical facilities effectively, which is the crucial segment in improving the working performance of the equipments'. Wear metallic particles analysis is the main content of the lubricant analyzing, which is also an important method in mechanic equipment condition monitoring. This paper presents some models in predicting the value of wear debris concentration. Those models include linear regression model, time series analysis model, gray system model and neutral network model and the characters of those models are discussed.