Adaptive peak decomposition approach for the fault diagnosis of reciprocating compressor based on general frequency

作者：Youfu Tang^*; Shulin Liu; Na Lei; Ruihong Jiang

来源：Information Technology Journal, 2013, 12(2): 287-296.

DOI：10.3923/itj.2013.287.296

• Decomposition approach
• Fault feature
• Gas valves
• General frequency
• Instantaneous frequency
• Multiple impact
• Noise signals
• Simulation signals
• Vibration signal

Vibration signals of reciprocating compressor mainly include multiple impact and noise signals, traditional fault diagnosis approaches could not reveal the fault feature accurately. In this study, a novel notion of general frequency is proposed and some simulation signals are used to compare its performances with the traditional frequency and the instantaneous frequency. Based on the notion, an adaptive peak decomposition approach is investigated and applied to the fault diagnosis of vibration signal for reciprocating compressor gas valve in four states including normal valve state, gap valve state, fractured valve state and bad spring valve state. The results show the effectiveness and the superiority of the proposed approach in extracting the fault feature of reciprocating compressor.

• 出版日期2013
• 单位上海大学