Reciprocating Compressor Fault Classify Base on Multi-Component Singular Entropy

摘要：

Condition monitoring of reciprocating machines through the analysis of their vibrations has been recognized to be a difficult issue, essentially because of the strong nonlinearity of the vibration signals. A new method of multi-component singular entropy is put forward to resolve this problem. Local Wave method is combined with Singular Entropy to extract features from the IMF of the vibration signals of reciprocating machines. And the features will be used as the input of ANFIS to classify and recognize the fault mode. The results are classified correctly. The conclusion shows that this method is feasible.

关键词： Singular Entropy Local Wave IMF ANFIS Fault diagnosis

作者: Yu Yuan Tingyu Wang Baoliang Li Congming Li

作者单位: School of mechanical engineering,Dalian Jiaotong University,Dalian,116028

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 228-231

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）