DocumentCode :
2436384
Title :
Detection of distributed gear faults with a new bispectral analysis
Author :
Ning, Taikang ; Kung, Ying-Shieh ; Wei, Fu-Shang
Author_Institution :
Dept. of Eng. & Comput. Sci., Trinity Coll., Hartford, CT, USA
Volume :
3
fYear :
1996
fDate :
5-10 Aug 1996
Firstpage :
1960
Abstract :
A new bispectral signal processing method is proposed to study abnormal gear vibrations due to distributed gear faults that are commonly found in many industries. This new signal processing method examines the phase relationships of prominent vibration frequencies of gears. In particular, this method can determine if the sideband frequencies generated from amplitude modulation are directly resulted from the quadratic phase coupling (QPC) between the tooth-meshing frequency and other gear faults related frequency. Based on the models of two distributed gear faults, shaft unbalance and gear eccentricity, a modified bispectral analysis method is developed. Simulation examples are provided to demonstrate the effectiveness. The results correctly match the model descriptions and therefore avoid the ambiguities in interpreting quadratic phase coupling that may exist if the conventional bispectrum is innocently applied
Keywords :
amplitude modulation; fault diagnosis; signal processing; spectral analysis; vibration measurement; abnormal gear vibrations; amplitude modulation; bispectral analysis; bispectral signal processing method; distributed gear faults detection; gear eccentricity; quadratic phase coupling; shaft unbalance; sideband frequencies; tooth-meshing frequency; vibration frequencies; Aerospace industry; Amplitude modulation; Fault detection; Fluctuations; Frequency; Gears; Shafts; Signal analysis; Signal processing; Teeth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
Type :
conf
DOI :
10.1109/IECON.1996.570775
Filename :
570775
Link To Document :
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