An inverter-embedded stator winding insulation quality assessment technique for AC machines

Jinkyu Yang, Jintae Cho, Sang Bin Lee, Hosung Jung, Young Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The lifetime of the stator winding insulation is reduced when operated with PWM inverters, since insulation degradation is accelerated due to increased thermal and electrical stresses on the motor. This paper focuses on a new approach for monitoring the condition of the stator insulation for failure-prone inverter-fed machines. The main concept of the proposed technique is to apply a variable frequency AC test voltage to the stator insulation using the inverter, to perform standard off-line insulation tests whenever the motor is not operating. This allows the stator insulation to be tested more frequently compared to off-line tests performed once every 3-6 yrs. during periodic maintenance. A method for testing the insulation with minimal modifications to the inverter circuit is proposed and verified experimentally. The results show that the proposed technique provides a simple low cost solution for detecting stator insulation degradation at an early stage for reliable operation of inverter-fed machine systems, since the insulation condition can be monitored frequently. This not only helps prevent forced outages and safety risks due to insulation breakdown, but also helps perform maintenance in an efficient manner since individual motor maintenance can be prioritized and scheduled based on its present condition.

Original languageEnglish
Title of host publicationProceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008
Pages143-150
Number of pages8
DOIs
Publication statusPublished - 2007 Dec 1
Event2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008 - Beijing, China
Duration: 2008 Apr 212008 Apr 24

Other

Other2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008
CountryChina
CityBeijing
Period08/4/2108/4/24

Fingerprint

Stators
Insulation
Degradation
Outages
Pulse width modulation
Networks (circuits)
Monitoring
Testing
Electric potential

Keywords

  • AC electric machines
  • Capacitance test
  • Condition monitoring
  • Diagnostics
  • Dissipation factor
  • Insulation resistance
  • Inverters
  • Predictive maintenance
  • Stator insulation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Yang, J., Cho, J., Lee, S. B., Jung, H., & Park, Y. (2007). An inverter-embedded stator winding insulation quality assessment technique for AC machines. In Proceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008 (pp. 143-150). [4580250] https://doi.org/10.1109/CMD.2008.4580250

An inverter-embedded stator winding insulation quality assessment technique for AC machines. / Yang, Jinkyu; Cho, Jintae; Lee, Sang Bin; Jung, Hosung; Park, Young.

Proceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008. 2007. p. 143-150 4580250.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yang, J, Cho, J, Lee, SB, Jung, H & Park, Y 2007, An inverter-embedded stator winding insulation quality assessment technique for AC machines. in Proceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008., 4580250, pp. 143-150, 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008, Beijing, China, 08/4/21. https://doi.org/10.1109/CMD.2008.4580250
Yang J, Cho J, Lee SB, Jung H, Park Y. An inverter-embedded stator winding insulation quality assessment technique for AC machines. In Proceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008. 2007. p. 143-150. 4580250 https://doi.org/10.1109/CMD.2008.4580250
Yang, Jinkyu ; Cho, Jintae ; Lee, Sang Bin ; Jung, Hosung ; Park, Young. / An inverter-embedded stator winding insulation quality assessment technique for AC machines. Proceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008. 2007. pp. 143-150
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