Engine Fault Prediction and Health Evaluation Based on Oil Sensor

In view of the fact that tracked armored vehicles are unable to monitor the indexes such as viscosity, total acid value and pollutant content of engine oil in real time, it is unable to effectively predict the engine failure and evaluate the health status of tracked armored vehicles. In this paper, various physical and chemical indexes in lubricating oil were monitored by oil sensor, engine fault was predicted and the cause of fault was analyzed based on the principle of fault tree. Then, the membership degree of the health status rating was calculated based on the concentration of the monitored abrasive particles, and the comprehensive evaluation system of engine health status was established. The results were analyzed to determine the health status rating. The results of the case show that the oil sensor can monitor and evaluate the engine, and the results are consistent with the actual working conditions, which verifies the rationality of the method.