Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
권호 표지
DOI QR코드

DOI QR Code

Faults Detection of Industrial Gearbox using an Envelope Analysis

포락선 분석을 이용한 산업용 기어박스의 결함 검출

  • Park, Y.J. (Korea Institute of Machinery and Materials (KIMM)) ;
  • Lee, G.H. (Korea Institute of Machinery and Materials (KIMM)) ;
  • Lee, J.J. (Korea Institute of Machinery and Materials (KIMM))
  • Published : 2009.04.25
Download PDF
⟨ Previous Next ⟩

Abstract

This study was conducted to detect faults in a gearbox comprised of gears, bearings and shafts. The envelope analysis was used as a method of detection, which could detect breakage and pitting of gears and bearings, and misalignment of shafts effectively. Vibration measured at the increaser was analyzed to characterize the faults. When the increaser has a defect, peaks with a constant period appear in the time history of vibration and its harmonic components also in the envelope spectrum. The envelope analysis showed that a crack in the stepped output shaft caused the increaser to generate the abnormal peaks.

Keywords

References

  1. Bae, B. W and Y. S. Choi, 2000. Fault diagnosis of gear chain using vibration signal. Transactions of the Korean Society of Mechanical Engineers A 24(7):1731-1739
  2. Braun, S. 1979. On the extraction and filtering of signals acquired from rotating machines. Journal of Sound and Vibration 65(1):37-50 https://doi.org/10.1016/0022-460X(79)90526-1
  3. Park, K. H., S. J. Jung, H. Wee, J. S. Kim, K. S. Han and M. H. Kim, 2008. A study on the fault detection of autotransmission according to gear damage. Transactions of the Korean Society for Noise and Vibration Engineering 18(1):47-56 https://doi.org/10.5050/KSNVN.2008.18.1.047
  4. Randall, R. B. 1982. A new method of modeling fear faults. Journal of Mechanical Design, Transactions of the American Society of Mechanical Engineers 104:259-267
  5. Staszewski, W. J. and G. R. Tomlinson. 1994. Application of the wavelet transform to fault detection in a spur gear. Mechanical Systems and Signal Processing 8:289-307 https://doi.org/10.1006/mssp.1994.1022
  6. Staszewski, W. J., K. Worden and G. R. Tomlinson. 1997. Time-frequency analysis in gearbox fault detection using the wigner-ville distribution and pattern recognition. Mechanical Systems and Signal Processing 11(5):673-692 https://doi.org/10.1006/mssp.1997.0102
  7. Stewart, R. M. 1980. The specification and development of a standard for gearbox monitoring. Proceeding of the 2nd International Conference on Vibration in Rotating Machinery:353-359
  8. Yang, B. S. 2006. Condition Monitoring & Diagnostics. Intervision Co., LTD, Seoul, Korea