Based on the research of crankbearing wear fault mechanics, the fault feature extraction and fault diagnosis method are further studied.
在曲柄轴承磨损故障机理的研究基础上,论文对其故障特征信息提取及故障识别方法开展了进一步的研究。
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The diagnosis result indicates that the diagnosis model can make full use of fuzzy information of crankbearing wear in different degrees to realize the early diagnosis of wear fault accurately.
Finding involved inadequate corrective actions to prevent repeat failure of the number nine main crank shaft bearing on emergency diesel generator number one.