Title :
Gear fault signal modeling and detection based on alpha stable distribution
Author :
Yu, Gang ; Shi, Ningning
Author_Institution :
Shenzhen Key Lab. of Digital Manuf., Technol., Harbin Inst. of Technol. (HIT) Shenzhen, Shenzhen, China
Abstract :
Due to limited information given by traditional local statistics, a new statistical modeling method for gear fault signals is proposed based on alpha-stable distribution. In order to fully take advantages of complete information provided by alpha-stable distribution, this paper focuses on testing the validity of the proposed statistical model. In the meantime, a new gear fault detection method based on an integrated parameter of alpha-stable model is proposed, which has shown better prospects than that based on traditional kurtosis.
Keywords :
condition monitoring; electric machines; fault diagnosis; gears; maintenance engineering; signal processing; statistical analysis; alpha stable distribution; fault detection; gear fault signal modeling; statistical modeling method; Demodulation; Educational institutions; Fault detection; Fourier series; Gears; Vibrations; Statistical modeling; alpha-stable distribution; gear fault; kurtosis;
Conference_Titel :
Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-2465-6
DOI :
10.1109/MSNA.2012.6324624
