An engine condition monitoring research method was proposed based on orderly sample clustering and Fuzzy theory.Orderly sample clustering method was applied to divide oil ferrography data into several categories and the engine condition monitoring was realized.Fuzzy theory method was applied to find out the location of the abnormal friction pairs of engine in combination with atom emission spectrum analysis data.The method was adopted for the conditioning monitoring of the diesel engine Cummings 6BT59,the possible abnormal wear position was determined,and the results were in accordance with the actual inspection results of engine dissemble.It is proved that the above research method is suitable for identifying the abnormal wear portion of engine.
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刘玉兵,杨川,王晓东.基于有序样品聚类和模糊理论发动机状态监测研究[J].润滑与密封,2017,42(7):117-120. . Research on Condition Monitoring of Engines Based on Orderly Sample Clustering and Fuzzy Theory[J]. Lubrication Engineering,2017,42(7):117-120.