Extracting accurate time domain features from vibration signals for reliable classification of bearing faults

• Main Authors: Tahir, Muhammad Masood, Badshah, Saeed, Hussain, Ayyaz, Khattak, Muhammad Adil
• Format: Article
• Published: Institute of Advanced Engineering and Science 2018
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/85641/; http://dx.doi.org/10.21833/ijaas.2018.01.021

Identification of localized faults in rolling element bearing (REB) frequently utilizes vibration-based pattern recognition (PR) methods. Time domain (TD) statistical features are often part of the diagnostic models. The extracted statistical values are, however, influenced by the fluctuations prese...