煤炭工程 ›› 2016, Vol. 48 ›› Issue (8): 100-102.doi: 10.11799/ce201608030
• 研究探讨 • 上一篇 下一篇
曹向辉1,张征凯2,李胜利1
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摘要： 为了对矿山大型机电设备的运行状态进行有效的评估和诊断，利用三相电机的定子电流信号对机电设备的故障进行了分析，并采用自适应的EEMD分解方法作为特征提取方法从电流信号中提取设备的故障特征。最后通过试验结果证明了所提方法有效性。
关键词: 电机电流, 故障诊断, EEMD分解
Abstract: Mechanical and electrical equipments which driven by motor play an important role in mining equipment. In order to have a effective condition assessment and diagnosis on mechanical and electrical equipments, motor current signal has been used to analyse the fault of mechanical and electrical equipments, and EEMD also be used for fault feature extraction from motor current. Experimental results show that the method is available.
中图分类号:
TD608
曹向辉，张征凯，李胜利. 基于电机电流EEMD分解的煤矿设备故障诊断方法[J]. 煤炭工程, 2016, 48(8): 100-102.
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