Monitoring diesel engine working condition by artificial neural network model

Engine's working condition directly influence on its efficient usage. It's working condition rely mainly on bearing wearing and degradation of lubrication oils. In this paper,wear metals and some key physico-chemical properties of lubricating oils during use have been determined. According to these data,the artificial neural network had been used for predicting engine's failure. The network has ability of self-learning,self-organization, adapting changes of circumstance, extrapolating and anti-interfering. Here the relationship model had been set up by artificial neural network between the Engine oil's using time and it's physico-chemical properties. The principle of monitoring was also built up. With this principle,Engine's failure would be predicted efficiently and simply.