A Specialized Comparative Analysis of Advanced Bearing Fault Detection Techniques
محورهای موضوعی : journal of Artificial Intelligence in Electrical EngineeringAlireza Mangouri 1 , Sajjad Atazadeh 2 , Mohammadesmaeil Akbari 3
1 - Department of Mechanical Engineering
2 -
3 - Department of Electrical Engineering
کلید واژه: Keywords: PeakVue, SPM HD, HD ENV, Spike Energy,
چکیده مقاله :
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.
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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,”
