NDLI: Gear crack assessment based on cyclic correlation analysis

Content Provider	IEEE Xplore Digital Library
Author	Zhipeng Feng Zuo, M.J. Rujiang Hao Fulei Chu
Copyright Year	2009
Description	Author affiliation: Department of Precision Instruments Tsinghua University Beijing, 100084, China (Fulei Chu) \|\| Department of Mechanical Engineering University of Alberta Edmonton, AB T6G 2G8, Canada (Zuo, M.J.) \|\| Institute of Vehicular Engineering University of Science and Technology Beijing Beijing, 100083, China (Zhipeng Feng) \|\| Department of Mechanical Engineering Shijiazhuang Railway Institute Shijiazhuang, 050043, China (Rujiang Hao)
Abstract	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 auto-correlation 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.
Starting Page	1071
Ending Page	1076
File Size	115466
Page Count	6
File Format	PDF
ISBN	9781424449033
DOI	10.1109/ICRMS.2009.5269999
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency modulation Statistical analysis cyclic correlation Amplitude modulation Frequency domain analysis Analytical models crack cyclostationary Gears Signal processing Feature extraction Autocorrelation Signal analysis gear
Content Type	Text
Resource Type	Article

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