The Naive Bayesian classifier (NBC) is a well-known classification model that has simple structure, low training complexity, excellent scalability, and good performances. However, the NBC two key limitations: (1) it built upon strong assumption condition attributes are independent, which often does not hold in real-life, (2) handle continuous well. To overcome these limitations, this paper pres...

A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here.  The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted on rolling element bearings which were run in normal and with artificially faults induced conditio...