DOI QR코드

DOI QR Code

A Study on the Detection of Fault Factor in Gear-Integrated Bearing

기어일체형 베어링의 결함인자 검출에 대한 연구

  • Yeongsik Kang (Antiaircraft Defense Project Management Office, LIG Nex1, Co., Ltd.) ;
  • Ina Yang (Antiaircraft Defense Project Management Office, LIG Nex1, Co., Ltd.) ;
  • Eunjun Lee (Antiaircraft Defense Project Management Office, LIG Nex1, Co., Ltd.) ;
  • Hwajong Jin (Antiaircraft Defense Project Management Office, LIG Nex1, Co., Ltd.) ;
  • Donghyouk Shim (Antiaircraft Defense Project Management Office, LIG Nex1, Co., Ltd.)
  • 강영식 (LIG넥스원(주) 대공체계연구소) ;
  • 양인아 (LIG넥스원(주) 대공체계연구소) ;
  • 이은준 (LIG넥스원(주) 대공체계연구소) ;
  • 진화종 (LIG넥스원(주) 대공체계연구소) ;
  • 심동혁 (LIG넥스원(주) 대공체계연구소)
  • Received : 2022.11.14
  • Accepted : 2023.03.17
  • Published : 2023.04.05

Abstract

High-precision lasers and anti-aircraft radars are the main equipment to protect the Korean Peninsula, and require preemptive maintenance before signs of failure. Of the key components in the drive sector, bearings do not have a fault alarm function. Therefore, the technology for diagnosing defects in bearings before the performance degradation of equipment occurs is becoming more important. In this paper, for the experimental analysis, we measured the acceleration of the four sets of the same lot using acceleration sensors. Through periodic measurements, the factors that changed until the bearing stopped rotating were analyzed. To determine the replacement time, the main factors and threshold values of the bearing signal were analyzed. The error of the theoretical and experimental analysis results of the defect frequency was within 2.8 %, and the validity of the theoretical analysis results could be confirmed. Based on the results, it is possible to remotely transmit trouble alerts to users through the system check function.

Keywords

References

  1. Seo, J. J., Hong, D. P. and Kim, W. T., Study on NDT Fault Diagnosis of the Ball Bearing under Stage of Abrasion by Infrared Thermography. Vol. 32, No. 1, pp. 7~11, 2012. https://doi.org/10.7779/JKSNT.2012.32.1.007
  2. Park, Y. J., Lee, G. H. and Lee, J. J., Faults Detection of Industrial Gearbox Using an Envelope Analysis, J. of Biosystems Eng. Vol. 34, No. 2, pp. 82~88, 2009. https://doi.org/10.5307/JBE.2009.34.2.082
  3. Kim, D. Y., Hong, D. P., Yu, C. H., and Kim, W. T., Condition Monitoring under In-situ Lubrication Status of Bearing Using Infrared Thermography. Vol. 30, No. 2, pp. 121~125, 2010. https://doi.org/10.21611/qirt.2010.160
  4. Kim, H. S. and Lee, S. K., Bearing Fault Diaagnostics in Gearbox, Proceedings of the KSNVE Annual Autumn Conference, pp. 611~616, 2002.
  5. Lee, J. K., Kim, J. H., Kang, K. T and Kang, S. K., A Development of an Intake RCV System, Transactions of the Korean Society for Noise and Vibration Engineering. Vol. 20, No. 8, pp. 734~741, 2010. https://doi.org/10.5050/KSNVE.2010.20.8.734
  6. Tatsunobu Momono and Banda Noda, Sound and Vibration in Rolling Bearings, Motion & Control, NSK, pp. 29~37, 1999.
  7. Song, M. S., Seo. C. H. and Kim, S. H., Factor Analysis of Bearing Shock Pulse Siganal, Proceedings of the KSNVE Annual Autumn Conference, p. 134, 2019.
  8. Park, S. T., Weon, J. I, Park, S. B. and Woo, H. S., Fault Detection of Rolling Element Bearing for Low Speed Machine Using Wiener Filter and Shock Pulse Counting, Transactions of the Korean Society for Noise and Vibration Engineering. Vol. 22, No. 12, pp. 1227~1236, 2012. https://doi.org/10.5050/KSNVE.2012.22.12.1227