湖南交通工程学院（Hunan Institute Of Traffic Engineering）位于湖南省衡阳市，是经教育部批准同意成立的全日制普通本科高校。 1991年，衡阳市中南技工学校成立；1998年，被批准为中南科技财经管理中等专业学校；2001年8月，更名为中南科技财经管理专修学院；2014年5月，升格为湖南交通工程学院。 学校占地面积70.61万平方米，校舍总建筑面积38.86万平方米，其中教学科研行政用房19.85万平方米。设有6个二级学院和2个教学部，成立了高科技研究院，下设6个研究所、3个研究中心。现设有27个本科专业，26个专科专业；现有教师678人，其中专任教师615人，具有高级职称187人。现有全日制在校生12174人。
ObjectiveAiming at the problem that the bearing fault feature extraction is difficult and the recognition accuracy is not high due to the characteristics of local strong non-stationarity and nonlinearity of the vibration signal of reciprocating compressor bearing clearance, a new method based on GMDE and MFO-MKELM algorithm was proposed.MethodsFirst, spread on multiscale entropy in the process of coarse graining, the average coarse graining way to a certain extent, “neutralize” the dynamics of the original signal mutation behavior, and reduce the accuracy of the entropy analysis. A generalized multiscale entropy algorithm spread, application of the reciprocating compressor vibration signals of bearing clearance for fault feature extraction was proposed; then, the polynomial kernel function and the improved Gaussian kernel function were linearly combined to construct the multiple kernel extreme learning machine intelligent recognition algorithm, and the fault diagnosis research was carried out on the extracted feature vector set.ResultsSimulation results show that the recognition accuracy of the fault diagnosis method is as high as 98.6%, which effectively realizes the intelligent diagnosis of different types of bearing faults.
