Browse > Article
http://dx.doi.org/10.7236/JIIBC.2022.22.5.111

Estimation of Motor Deterioration using Pulse Signal and Insulation Resistance Measurement Algorithm  

Jeong, Sungin (Dept. of AI-Automotive Engineering, Gwangju University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.22, no.5, 2022 , pp. 111-116 More about this Journal
Abstract
The causes of motor burnout include overload, phase loss, restraint, interlayer short circuit, winding ground fault, instantaneous overvoltage, and the rotor contacting the stator, leading to insulation breakdown, leading to breakdown or electrical accidents. Therefore, equipment failure causes not only loss due to cost required for equipment maintenance/repair, but also huge economic loss due to productivity decrease due to process stop because the process itself including the motor is stopped. The current level of technology for diagnosing motor failures uses vibration, heat, and power analysis methods, but there is a limit to analyzing the problems only after a considerable amount of time has passed according to the failure. Therefore, in this paper, a device and algorithm for measuring insulation resistance using DC AMP signal was applied to an industrial motor to solve this problem. And by following the insulation resistance state value, we propose a diagnosis of deterioration and failure of the motor that cannot be solved by the existing method.
Keywords
Motor; Insulation Resistance; Deterioration; DC Pulse Signal; Fault Diagnosis;
Citations & Related Records
연도 인용수 순위
  • Reference
1 I Made Yulistya Negara, Dimas Anton Asfani, Daniar Fahmi, Siti Sudatul Aisyah N, "Testing and Simulation of Motor Insulation System under Some Artificial Environmental Conditions, International Conference on Electrical Engineering, Computer Science and Informatics, pp.286~289, 2014. DOI:https://doi.org/10.11591/eecsi.v1.343
2 Ken Watkins, "Condition Monitoring Sensor for Electric Vehicle Motor and Generator Insulation Systems," World Electric Vehicle Journal, vol. 5, pp.541~545, 2012. DOI:https://doi.org/10.3390/wevj5020541   DOI
3 G. Mamatha1, A. H. Thejaswi, "Induction Motor Condition Monitoring and Controlling Based on IOT, International Research Journal of Engineering and Technology, vol.4, no.9, pp.220~225, 2021.
4 Peter Nussbaumer, Markus A. Vogelsberger, Thomas M. Wolbank, "Induction Machine Insulation Health State Monitoring Based on Online Switching Transient Exploitation," IEEE Transactions on Industrial Electronics, vol.62, no.3, pp.1835~1845, 2014. DOI: https://doi.org/10.1109/TIE.2014.2361114   DOI
5 McKinnon, David L., "Simulation Insulation System under Various Environmental Conditions in Labora-tory," IEEE International Symposium on Electrical Insulation, 2012. DOI: https://doi.org/10.1109/ELINSL.2012.6251485   DOI
6 Muhammad Amin, Salman Amin, Muhammad Mubarak Ali, "Monitoring of Leakage Current for Composite Insulators and Electrical Devices, Reviews on Advanced Materials Science, vol.21, no.1, pp.75~89, 2009.