Abstract：For new equipment, Condition Based Maintenance decision model is difficult to establish in the case of lacking historical failure information and maintenance threshold. An improved coefficient was defined which indicates the difference of a basic failure rate based on the trends consistency of old and new equipment failure rate, and the failure rate function was obtained. Then the new equipment risk function curve was fit with Support Vector Machine regression, further, the maintenance threshold and Condition Based Maintenance decision model of new equipment were established. Finally, the monitoring data of marine diesel engine were analyzed as an example using the method mentioned above. The result shows that approached method can effectively tap the old equipment historical data information and make full use of the intrinsic relation between the old and new equipment. It provides a new way for condition based maintenance under gray information.
周志才，刘东风，石新发. 基于灰信息挖掘的视情维修决策方法研究[J]. 振动与冲击, 2016, 35(5): 55-58.
ZHOU Zhi-cai，LIU Dong-feng，SHI Xin-fa . Study on Condition Based Maintenance Decision Method Based on Gray Information. JOURNAL OF VIBRATION AND SHOCK, 2016, 35(5): 55-58.
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