An Engine Oil Analysis Method Based on Kernel Density Estimation And Three-lines Values Method

In order to solve the problem of small sample data and difficulty to judge the working state of machinery machine in oil analysis, an oil analysis method based on kernel density estimation and three-line values method is proposed. First, kernel density estimation is used to solve the unbiased estimation of the oil sample data, and the statistical average and standard deviation of the samples are obtained by the probability density function. Then, combined with the three-line values method, the normal line, warning line and danger line are generated to judge the working state of the engine, and the results are obtained. Finally, the proposed method is used to analyze and judge the oil data of an engine, based on the given criteria. The results imply that the method is effective.