Research of Fault Feature Extraction Based on High Order Cyclic Statistics for Reciprocating Compressor Gas Valves

摘要：

　　This paper proposes an approach of fault feature extraction for reciprocating compressor gas valves based on theory of cyclic statistics.First,the strength and weakness of the third-order cyclic statistics in extracting signal features are investigated by simulation signals.Since vibration signals for reciprocating compressor gas valves are of typical cyclic stationary,a new method of fault feature extraction is then proposed based on the simulation results.The method utilizes the cyclic bi-spectrum to extract fault features for the corresponding frequencies.The results show that the cyclic bi-spectrum characteristics for typical faults of gas valves are apparently different,and that the typical faults of reciprocating compressor gas valves can be diagnosed exactly.So the new method proposed in this paper is effective and feasible.

关键词： Reciprocating compressors Gas valves High order cyclic statistics Feature extraction Fault diagnosis

作者: Shulin Liu Youfu Tang Jicheng Liu Yinghui Liu

作者单位: School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200072,China

会议类型: 国际会议

会议名称: the 2010 International Conference on Frontiers of Manufacturing and Design Science(第一届制造与设计科学国际会议(ICFMD 2010))

会议地点: 重庆

会议语种:英文

页码: 2094-2098

在线出版日期: 2010-12-11（万方平台首次上网日期，不代表论文的发表时间）