Journal of the Korea Safety Management & Science (대한안전경영과학회지)

Korea Safety Management & Science (대한안전경영과학회)
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Method for High-visibility of Online Monitoring and Fault Diagnosis System for Industrial Motor using PVA

PVA를 이용한 산업용 모터 고장진단 모니터링 시스템의 가시성을 높이는 방법

  • Goh, Yeong-Jin (Department of Electrical and Automation Engineering, Suncheon Jeil College) ;
  • Kang, In-Won (Department of Fire safety and Management, Cheongam College)
  • 고영진 (순천제일대학교 전기자동화과) ;
  • 강인원 (청암대학교 소방안전관리과)
  • Received : 2020.02.17
  • Accepted : 2020.03.16
  • Published : 2020.03.31
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Abstract

Industrial Motors diagnostic equipment is highly dependent on the automation system, so if there are defects in the automation equipment, it can only rely on the operator's intuitive judgment.To help with intuitive judgment, Park's Vactor Approach(PVA) represents the current signal as a pattern of circles, so it can tell if a fault occurs when the circle is distorted. However, the failure to judge the degree of distortion of the circle pattern is the basis of the fault, so it will face difficulties. In this paper, in order to compare the faults of PVA, the period of d-axis current of PVA pulsation was mastered, so that two phase differences occurred in the same signal source. Through experiments, it is confirmed that this is a 90 degree cross formation of PVA, which is convenient for judging from the vision that there is no fault, thus helping the operator to make intuitive judgment.

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References

  1. J. Y. Jeoung, Y. J. Bae(2013), "A Case Study of Quality Improvement practice in Cooling Fan Motor Manufacturing." Journal of Korea Safety Management and Science, 15(4):279-288. https://doi.org/10.12812/ksms.2013.15.4.279
  2. S. Im, S. Jeong(2015), "A study on the implementation of closed-loop system using the stepper motor back-EMF." Journal of Korea Safety Management and Science, 17(3):363-370. https://doi.org/10.12812/ksms.2015.17.3.363
  3. Y. Jung(2015), "Research for Environmentally Friendly Exhaust Fan BLDC Motor Controller." Journal of Korea Safety Management and Science, 17(4):403-410. https://doi.org/10.12812/ksms.2015.17.4.403
  4. HSE. (2003), Out of control: Why control systems go wrong and how to prevent failure, Sudbury: HSE books.
  5. Wikipedia(2018), TAEAN thermoelectric power plant. https://ko.wikipedia.org/wiki/.
  6. A. Glowacz(2015), "Recognition of acoustic signals of induction motor using FFT, SMOFS-10 and LSVM." Eksploatacja i Niezawodnosc - Maintenance and Reliability, 17(4):569-574. https://doi.org/10.17531/ein.2015.4.12
  7. H. Henao, G. A. Capolino, et al(2014), "Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques." Industrial Electronics Magazine, 8(2):31-42. https://doi.org/10.1109/MIE.2013.2287651
  8. C. Yang(2019), "Electrical monitoring for reliable detection of stator core lamination and rotor faults diagnosis in 3-phase induction motor." Industrial Electronics Magazine, Doctoral Dissertation, University of Korea.
  9. M. H. Song, K. N. Park, D. G. Han, T. H. Lee, H. J. Woo(2007), "The Development of Portable Rotor Bar Fault Diagnosis System for Three Phase Small Induction Motors Using LabVIEW." The Transactions of the Korean Institute of Electrical Engineers, 56(1):51-55.
  10. A. J. M. Cardoso, S. M. A. Cruz, D. S. B. Fonseca (1999), "Inter turn stator winding fault diagnosis in three phase induction motors, by Park's Vector Approach." IEEE Transactions on Energy Conversion, 14(3):595-598. https://doi.org/10.1109/60.790920
  11. Y. J. Goh, K. M. Kim(2019), "Diagnosis of Stator Fault by Inter-Turn Short Circuit for 3-Phase Induction Motor." Advances in Intelligent Systems and Computing, 797:609-618. https://doi.org/10.1007/978-981-13-1165-9_56
  12. Y. J. Goh, O. Kim(2019), "Linear Method for Diagnosis of Inter-Turn Short Circuits in 3-Phase Induction Motors." Applied Sciences, 9(22):1-20.
  13. H. Henao, G. A. Capolino, et al(2014), "Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques." IEEE Industrial Electronics Magazine, 8(2):31-42. https://doi.org/10.1109/MIE.2013.2287651