Comparative Study of Cepstral Editing and Unitary Sample Shifted Probability Distribution Function method for Bearing Fault Diagnosis

Abstract

This paper presents a comparative study of cepstral editing and unitary sample shifted probability distribution function method used for bearing fault diagnosis. Traditionally, different signal processing techniques are employed for this application. This study compares recent methods including cepstral editing and unitary sample shifted Laplacian window method. The superiority of these methods under different conditions and fault types is discussed based on the squared envelope spectrum (SES) feature and kurtosis. It is concluded from this study that use of cepstral pre-whitening (CPW) before the unitary sample shifted Laplacian window method significantly improves the performance for the diagnosis of ball faults.