... spectrum of ( a ), ( c ) envelope spectrum of ( a ), ( d ) envelope spectrum of KABS + one-iteration IAC, and ( e ) envelope spectrum of KABS + two-iteration IAC A joint KABS filtering and IAC has been proposed for detecting rolling element bearing faults. The combination of KABS filtering...

... vibration components induced by the rotation of shaft and bearing parts. Hence, the IMF that has the biggest kurtosis among the first few ones contains the fault information of rolling element bearings, and it will be selected for further analysis. where * denotes the convolution operator. If higher...

...Qingbo He; Peng Li; Fanrang Kong rolling element bearing localized defect evaluation empirical mode decomposition intrinsic mode function multiscale slope feature Rolling element bearing is one of the most important rotating equipments in industrial applications. Unexpected failures...

.... Editor: Thomas J. Royston. 25 04 2011 04 05 2012 This paper introduces approximate entropy (ApEn) to address a nonlinear feature parameter of acoustic emission (AE) signal for the defect detection of rolling element bearings. With respect to AE signal, parameter selection of ApEn...

...Mehdi Behzad; Abbas Rohani Bastami; David Mba Prediction of the vibration response due to defects on rolling element bearings requires having an accurate representative vibration model. In this paper, a new model for vibration generation in the rolling element bearings has been introduced...

...Yongyong He; Xinming Zhang; Michael I. Friswell Rolling element bearings are very common components in rotating machinery. Hence, condition monitoring and the detection of defects are very important for the normal and safe running of these machines. Vibration based techniques are well established...