DocumentCode
2451121
Title
Angle Domain Average and Autoregressive Spectrum Analysis Based Gear Faults Diagnosis
Author
Ai, Shufeng ; Li, Hui ; Fu, Lihui
Author_Institution
Dept. of Commun. Technol., Zhejiang Univ. of Media & Commun., Hangzhou, China
fYear
2009
fDate
25-26 April 2009
Firstpage
659
Lastpage
662
Abstract
In order to process the non-stationary vibration signals during run-up of gearbox, the method based on angle domain average and autoregressive spectrum analysis is presented. This new method combines angle domain average with angle domain average technique. Firstly, the vibration signal is sampled at constant time increments and then uses software to resample the data at constant angle increments.Secondly, the angle domain signal is preprocessed using angle domain average technique in order to eliminate the unrelated noise. In the end, the averaged signals are processed by autoregressive spectrum analysis. The experimental results show that the proposed method can effectively detect the gear crack faults.
Keywords
autoregressive processes; condition monitoring; fault diagnosis; gears; signal processing; spectral analysis; vibrations; angle domain average analysis; angle domain signal; autoregressive spectrum analysis; gear crack faults; gear faults diagnosis; gearbox fault diagnosis; non-stationary vibration signals; Condition monitoring; Fault diagnosis; Frequency; Gears; Machinery; Sampling methods; Shafts; Signal analysis; Signal processing; Signal sampling; angle domain average; autoregressive spectrum; fault diagnosis; gear; vibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.10
Filename
5159089
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