An advanced stator winding insulation quality assessment technique for inverter-fed machines
- Authors
- Yang, Jinkyu; Cho, Jintae; Lee, Sang Bin; Yoo, Ji-Yoon; Kim, Hee Dong
- Issue Date
- 3월-2008
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- AC electric machines; capacitance (C) test; condition monitoring; diagnostics; dissipation factor (DF); insulation resistance (IR); inverters; predictive maintenance; stator insulation
- Citation
- IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, v.44, no.2, pp.555 - 564
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Volume
- 44
- Number
- 2
- Start Page
- 555
- End Page
- 564
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/123995
- DOI
- 10.1109/TIA.2008.916753
- ISSN
- 0093-9994
- Abstract
- The lifetime of the stator winding insulation is reduced when operated with pulsewidth-modulation 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 dc and/or variable-frequency ac test voltage to the stator insulation using the inverter and to perform standard offline insulation tests whenever the motor is not operating. This allows the stator insulation to be tested more frequently as compared to offline tests performed once every three to six years during periodic maintenance. Two methods for testing the insulation with minimal modifications to the inverter circuit are 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 does 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.
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