Gear Crack Assessment Based on Cyclic Correlation Analysis
Gear vibration signals are mainly due to the gear rotating, gear pair meshing and their coupling effects, and are usually modeled as amplitude modulation and frequency modulation (AMFM) processes.The modulation feature of vibration signals is related to the health status of gears.As well, their statistics change periodically with gear rotation,i,e.they are cyclostationary.so cyclostationary analysis is suitable to extract the modulation features of gear vibration signals,so as to detect and assess gear damage.The cyclic autocorrelation function of AMFM signals is deduced, and its properties in cyclic frequency domain are summarized.The ratio between the cyclic autocorrelation slice magnitude at cyclic frequencies of modulating frequency and 0 Hz is a monotonically increasing function of the modulation magnitude,so it is able to indicate the modulation magnitude.Since the modulation magnitude of gear vibration signals is related to localized gear damage degree, the ratio is used to assess the condition of gears.In the analysis of gear crack simulation vibration signals,it shows a monotonically increasing trend with the development of the gear damage.It has potential to early detect incipient damage, to prognosticate severe damage, and to assess gearbox damage.
gear crack cyclostationary cyclic correlation
Zhipeng Feng Ming J.Zuo Rujiang Hao Fulei Chu
Institute of Vehicular Engineering University of Science and Technology Beijing Beijing 100083,China Department of Mechanical Engineering University of Alberta Edmonton,AB T6G 2G8,Canada Department of Mechanical Engineering Shijiazhuang Railway Institute Shijiazhuang 050043,China Department of Precision Instruments Tsinghua University Beijing 100084,China
国际会议
2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)
成都
英文
1071-1076
2009-08-24（万方平台首次上网日期，不代表论文的发表时间）