Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
권호 표지
DOI QR코드

DOI QR Code

Diagnosis of Inter Turn Short Circuit in 3-Phase Induction Motors Using Applied Clarke Transformation

Clarke 변환을 응용한 3상 유도전동기의 Inter Turn Short Circuit 진단

  • Yeong-Jin Goh (Dept. of Electrical Engineering, Tongmyong University) ;
  • Kyoung-Min Kim (Dept. of Electrical and Semiconductor Engineering, Chonnam National University)
  • Received : 2023.12.11
  • Accepted : 2023.12.21
  • Published : 2023.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

The diagnosis of Inter Turn Short Circuits (ITSC) in induction motors is critical due to the escalating severity of faults resulting from even minor disruptions in the stator windings. However, diagnosing ITSC presents significant challenges due to similarities in noise and losses shared with 3-phase induction motors. Although artificial intelligence techniques have been explored for efficient diagnosis, practical applications heavily rely on model-based methods, necessitating further research to enhance diagnostic performance. This study proposed a diagnostic method applied the Clarke Transformation approach, focusing solely on current components while disregarding changes in rotating flux. Experimental results conducted over a 30-minute period, encompassing both normal and ITSC conditions, demonstrate the effectiveness of the proposed approach, with FAR(False Accept Rates) of 0.2% for normal-to-ITSC FRR(False Rejection Rates) and 0.26% for ITSC-to-normal FRR. These findings underscore the efficacy of the proposed approach.

고정자 권선단락은 미세한 턴이 단락되어 급격히 고장이 심각해짐에 따라 ITSC의 진단이 중요시되고 있다. 그러나, 3상 유도전동기의 노이즈 및 손실등과 유사한 특징을 가짐에 따라 ITSC진단에 많은 어려움이 있다. 이를 효율적으로 진단하기 위해서 인공지능 기법으로 연구되고 있으나, 현장에서는 모델기반 기법이 두루 활용되고 있음에 따라 모델기반 기법에 대한 진단 성능개선 연구가 필요한 실정이다. 이에 본 논문에서는 회전하고 있는 자속에 변화를 무시하며, 전류 성분만을 이용할 수 있도록 Clarke변환 방법을 응용하여 진단방법을 제안하였다. 이에 30분간의 정상 및 ITSC 상태의 측정 결과, 정상상태를 ITSC 상태로 오인식하는 경우 0.2[%], ITSC상태를 정상상태로 오거부하는 경우 0.26[%]로 효율적인 진단 방법임을 실험을 통해 알 수 있었다.

Keywords

Acknowledgement

This study was financially supported by Chonnam National University(Grant number: 2022-0198)

References

  1. A. Alloui, K. Laadjal, M. Sahraoui and A. J. Marques Cardoso, "Online Interturn Short-Circuit Fault Diagnosis in Induction Motors Operating Under Unbalanced Supply Voltage and Load Variations, Using the STLSP Technique," in IEEE Transactions on Industrial Electronics, vol.70, no.3, pp.3080-3089, 2023. DOI: 10.1109/TIE.2022.3172751
  2. C. Liu, L. Xiao, J. Zou, Y. Xu and S. Li, "Analysis and Monitoring Method for Inter-Turn Short-Circuit Fault for PMSM," in IEEE Transactions on Magnetics, vol.59, no.11, pp.1-6, 2023. DOI: 10.1109/TMAG.2023.3294704
  3. Y.-J. Goh, G.-N. Kim, Y. H. Kim, B. Lee, and K.-M. Kim "Diagnosis Method for Stator-Faults in Induction Motor using Park's Vector Pattern and Convolution Neural Network," Journal of IKEEE, vol.24, no.3, pp.883-889, 2020. https://doi.org/10.7471/IKEEE.2020.24.3.883
  4. A. Siddique, G. S. Yadava, and B. Singh, "A review of stator fault monitoring techniques of induction motors," IEEE Transactions on Energy Conversion, vol.20, pp.106-114, 2005. DOI: 10.1109/TEC.2004.837304
  5. W. T. Thomson, D. Rankin, and D. G. Dorrell, "On-line current monitoring to diagnose airgap eccentricity in large three-phase induction motors-industrial case histories verify the predictions," IEEE Transactions on Energy Conversion, vol.14, pp.1372-1378, 1999. DOI: 10.1109/60.815075
  6. F. Karami, J. Poshtan and M. Poshtan, "Model-based fault detection in induction Motors," 2010 IEEE International Conference on Control Applications, Yokohama, Japan, pp.1957-1962, 2010. DOI: 10.1109/CCA.2010.5611214.
  7. S. Shao, R. Yan, Y. Lu, P. Wang and R. X. Gao, "DCNN-Based Multi-Signal Induction Motor Fault Diagnosis," in IEEE Transactions on Instrumentation and Measurement, vol.69, no.6, pp. 2658-2669, 2020, DOI: 10.1109/TIM.2019.2925247.
  8. J. Aguayo, A. Claudio, L. G. Vela and S. Gentile, "A survey of fault diagnosis methods for induction motors drives under inverter fault conditions," (ICEEE). 1st International Conference on Electrical and Electronics Engineering, 2004, Acapulco, Mexico, pp.367-372, 2004. DOI: 10.1109/ICEEE.2004.1433910.
  9. S. M. A. Cruz and A. J. M. Cardoso, "Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended Park's vector approach," in IEEE Transactions on Industry Applications, vol.37, no.5, pp.1227-1233, Sept.-Oct. 2001. DOI: 10.1109/28.952496.
  10. S. Riyadi, "Inverse Clarke Transformation based control method of a three-phase inverter for PV-Grid systems," 2014 The 1st International Conference on Information Technology, Computer, and Electrical Engineering, Semarang, Indonesia, pp.351-355, 2014. DOI: 10.1109/ICITACEE.2014.7065770