A Specialized Comparative Analysis of Advanced Bearing Fault Detection Techniques

Subject Areas : journal of Artificial Intelligence in Electrical Engineering

Alireza Mangouri ^{1 *} , Sajjad Atazadeh ^{2 *} , Mohammadesmaeil Akbari ^{3 *}

1 - Department of Mechanical Engineering
2 -
3 - Department of Electrical Engineering

Received: 2025-05-18 Accepted : 2025-06-08 Published : 2025-07-10

Keywords: Keywords: PeakVue, SPM HD, HD ENV, Spike Energy,

Abstract :

Bearings are among the most critical rotating components in industrial equipment, and their failure can lead to significant machine downtime, costly damages, and potential safety hazards. This study presents a comprehensive and technical comparison of four advanced bearing fault detection techniques—PeakVue, SPM HD, HD ENV, and Spike Energy. By analyzing their operational principles, frequency sensitivity, diagnostic capabilities, data acquisition methods, and implementation requirements, this paper highlights each method's strengths, limitations, and suitability for different industrial scenarios. The results aim to support condition monitoring professionals in selecting the most effective technique based on machine type, fault progression, operational environment, and application-specific constraints.

References:

1- T. Sundström, "An Introduction to the SPM HD Method," SPM Instrument AB, White Paper, October 2010.
2- M. Xu, "Spike Energy Measurement and Case Histories," ENTEK IRD International Corporation.
3-T. Sundström and L. Hedin, "An Introduction to HD ENV," SPM Instrument AB, White Paper, Rev. 1, October 2015.
4- S. Bowers,”Using PeakVue Plus Technology for Detecting Anti-Friction Bearing Faults,”