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International journal of fuzzy logic and intelligent systems : IJFIS v.9 no.2, 2009년, pp.99 - 104   피인용횟수: 3
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Fault Detection and Diagnosis of Winding Short in BLDC Motors Based on Fuzzy Similarity

Bae, Hyeon    (School of Electrical and Computer Engineering, Georgia Institute of Technology   ); Kim, Sung-Shin    (School of Electrical and Computer Engineering, Pusan National University   ); Vachtsevanos, George    (School of Electrical and Computer Engineering, Georgia Institute of Technology  );
  • 초록

    The turn-to-turn short is one major fault of the motor faults of BLDC motors and can appear frequently. When the fault happens, the motor can be operated without breakdown, but it is necessary to maintain the motor for continuous working. In past research, several methods have been applied to detect winding faults. The representative approaches have been focusing on current signals, which can give important information to extract features and to detect faults. In this study, current sensors were installed to measure signals for fault detection of BLDC motors. In this study, the Park's vector method was used to extract the features and to isolate the faults from the current measured by sensors. Because this method can consider the three-phase current values, it is useful to detect features from one-phase and three-phase faults. After extracting two-dimensional features, the final feature was generated by using the two-dimensional values using the distance equation. The values were used in fuzzy similarity to isolate the faults. Fuzzy similarity is an available tool to diagnose the fault without model generation and the fault was converted to the percentage value that can be considered as possibility of the fault.


  • 주제어

    BLDC motor .   fault detection and diagnosis .   Park's vector .   fuzzy similarity.  

  • 참고문헌 (11)

    1. Y. E. Zhongming and W. U. Bin, "A Review on Induction Motor Online Fault Diagnosis," The Third International Power Electronics and Motion Control Conference (PIEMC 2000), vol. 3, pp. 1353-1358, Aug. 15-18, 2000 
    2. P. Korondi and H. Hashimoto, "Park Vector Based Sliding Mode Control of UPS with Unbalanced and Nonlinear Load," PERIODICA POLYTECHNICA SER. EL. ENG. vol. 43, no. 1, pp. 65?79, 1999 
    3. M. George, "A Fuzzy Similarity Measure Based on the Centrality Scores of Fuzzy Terms," International Conference of the North American Fuzzy Information Processing Society (NAFIPS 2004), pp. 740-744, Alberta, Canada, June 27-30,2004 
    4. De-Gang Wang, Yan-Ping Meng, and Hong-Xing Li, "A Fuzzy Similarity Inference Method for Fuzzy Reasoning," Computers & Mathematics with Applications archive, vol. 56, no. 10, pp. 2445-2454, Nov. 2008 
    5. T. Gadi, R. B. M. Daoudi, and S. Matusiak, "Fuzzy Similarity Measure for Shape Retrieval," Vision Interface '99, Trois-Rivi$\grave{e}$res, Canada, 19-21 May, 1999 
    6. M. Karddouchi and N. Belacel, "Objects Recognition Using SIFT and Fuzzy Similarity Measure," The 20th Annual IS&T/SPIE Symposium on Electronic Imaging, San Jose, California, USA, Jan. 27-31, 2008 
    7. P. Vas, Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines, Clarendron Press, Oxford, 1993 
    8. Q. Guo, X. Li, H. Yu, W. Hu, and J. Hu, "Broken Rotor Bars Fault Detection in Induction Motors Using Park's Vector Modulus and FWNN Approach," Lecture Notes In Computer Science, vol. 5264, pp. 809-821, 2008 
    9. A. J. Marques Cardoso, S. M. A. Cruz, J. F. S. Carvalho, and E. S. Saraiva, "Rotor Cage Fault Diagnosis in Three-phase Induction Motors, by Park's Vector Approach," Conference Record of the 1995 IEEE Thirtieth IAS Annual Meeting (IAS '95), vol. 1, pp. 642-646, 8-12 Oct. 1995 
    10. G. B. Kliman and J. Stein, "Induction Motor Fault Detection via Passive Current Monitoring," International Conference in Electrical Machines, Cambridge, MA, pp. 13-17, August 1990 
    11. A. J. Marques Cardoso and A. M. S. Mendes, "Semi-converter Fault Diagnosis in DC Motor Drives by Park's Vector Approach," 6th International Conference on Power lectronics and Variable Speed Drives (CP429), pp. 93-98, Nottingham, UK, 23-25 Sep. 1996 
  • 이 논문을 인용한 문헌 (3)

    1. Lee, Jae-Hyun 2010. "Comparison of Fault Detection Methods for the BLDC Motor Using the Current Sensor" 한국마린엔지니어링학회지 = Journal of the Korean Society of Marine Engineering, 34(8): 1115~1127     
    2. 2012. "" International journal of fuzzy logic and intelligent systems : IJFIS, 12(4): 263~269     
    3. Kim, Seong-Jun ; Choe, Byung Hak ; Kim, Woosik ; Ki, Ikjoong 2016. "" 한국지능시스템학회 논문지 = Journal of Korean institute of intelligent systems, 26(5): 343~350     

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