Study on Wearing Characteristics and Diagnosis Based on Oil Spectrum Analysis

Engine wearing characteristics are analyzed from wear types, wear processes, main friction pairs and correlation coefficient of wear elements. With respect to engine state monitoring, a diagnostic method based on oil spectrum analysis was put forward and the critical value for analytical model like concentration model, gradient model and proportion model are set. The gray model and time series model are used as the data forecasting model, providing a practical monitoring approach for engine diagnosis.