A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Current trend toward industrial automation requires the replacement of supervision and monitoring roles traditionally performed by humans with artificial intelligent systems. This paper studies the use of hybrid intelligent system in Diagnosis of rotating machinery bearing defects. Vibration signals were collected for normal and various faulty conditions of the ball/roller bearing of the machinery. The acquired signal was processed with FFT and PSD in MATLAB to obtain the characteristicdoi:10.7763/ijcee.2012.v4.612 fatcat:fopuwzkqlzb3xakqocwen4xkdq