Title :
Bearing fault detection based on order bispectrum
Author_Institution :
Dept. of Comput. & Inf., Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China
Abstract :
In order to process the non-stationary vibration signals such as speed up or speed down vibration signals effectively, the order bispectrum analysis technique is presented. This new method combines computed order tracking technique with bispectrum analysis. Firstly, the vibration signal is sampled at constant time increments and then uses software to resample the data at constant angle increments. Therefore, the time domain transient signal is converted into angle domain stationary one. In the end, the resampled signals are processed by bispectrum analysis technology. The experimental results show that order bispectrum analysis can effectively detect the bearing fault.
Keywords :
fault diagnosis; machine bearings; mechanical engineering computing; signal processing; vibrations; angle domain stationary one; bearing fault detection; bispectrum analysis technique; constant angle increments; constant time increments; nonstationary vibration signals process; order bispectrum; order tracking technique; resampled signals; time domain transient signal; Fault detection; Mechanical systems; Shafts; Signal processing; Time frequency analysis; Vibrations; Bearing; Bispectrum; Fault diagnosis; Order tracking analysis; Signal processing;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647398