Condition monitoring and diagnostics of motor and stator windings - A review

• Published in: IEEE transactions on dielectrics and electrical insulation Vol. 20; no. 6; pp. 2073 - 2080
• Main Author: Stone, G. C.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2013; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Coils; Coils (windings); Condition monitoring; Diagnostic software; Insulation; Maintenance; Monitoring; Motors; On-line systems; Predictive maintenance; rotor winding insulation; Rotors; stator winding insulation; Stator windings; Stators; Temperature sensors; Windings
• ISSN: 1070-9878; 1558-4135
• DOI: 10.1109/TDEI.2013.6678855

Condition-based maintenance (also called predictive maintenance) requires diagnostic tools to determine when significant insulation aging has occurred, and thus when maintenance is necessary to avoid an in-service failure. Over the years many off-line diagnostic tests and on-line monitoring systems have been proposed and implemented, especially on critical motors and generators. In the past decade, most of the research has concentrated on improving existing off-line diagnostic tests and on-line monitoring such as magnetic flux, partial discharge, temperature, endwinding vibration, etc. However, some newer tests such as polarization/depolarization current, dielectric spectroscopy and on-line leakage current monitoring have been introduced. These tests and monitoring systems are reviewed. Tests and monitoring systems for rotor winding insulation and stator winding insulation are addressed separately.