DOI QR코드

DOI QR Code

Application of Envelop Analysis and Wavelet Transform for Detection of Gear Failure

기어 결함 검출을 위한 포락처리와 웨이블릿 변환의 적용

  • 구동식 (경상대학교 대학원 정밀기계공학과) ;
  • 이정환 (경상대학교 대학원 정밀기계공학과) ;
  • 양보석 (부경대학교 기계공학부) ;
  • 최병근 (경상대학교 기계항공공학부.해양산업연구소)
  • Published : 2008.11.01

Abstract

Vibration analysis is widely used in machinery diagnosis and the wavelet transform has also been implemented in many applications in the condition monitoring of machinery. In contrast to previous applications, this paper examines whether acoustic signal can be used effectively along vibration signal to detect the various local fault, in local fault of gearboxes using the wavelet transform. Moreover, envelop analysis is well known as useful tool for the detection of rolling element bearing fault. In this paper, a acoustic emission (AE) sensor is employed to detect gearbox damage by installing them around bearing housing at driven-end side. Signal processing is conducted by wavelet transform and enveloping to detect her fault all at once gearbox using AE signal.

Keywords

References

  1. KIM, Y. H., Tan, Andy, C. C., MATEW, J., Kosse, V. and YANG, B. S., 2007, “A Comparative Study on the Application of Acoustic Emission Technique and Acceleration Measurements for Low Speed Condition Monitoring,” 12th Asia Pacific Vibration Conference (APVC2007), August 6-9, Hokkaido University, Sapporo, Japan
  2. KIM, Y. H., Tan, Andy, C. C., MATEW, J. and YANG, B. S., 2007, “Experimental Study on Incipient Fault Detection of Low Speed Rolling Element Bearings: Time Domain Statistical Parameters,” 12th Asia-Pacific Vibration Conference (APVC2007), August 6-9, Hokkaido University, Sapporo, Japan
  3. Shiroishi, J., Li, Y., Lian, S., Danyluk, S. and Kurfess, T., 1999, “ Vibration Analysis for Bearing Outer Race Condition Diagnostics,” Journal of Brazilian Society of Mechanical Science, Rio de Janeiro
  4. Misiti, M., Misiti, Y., Oppenheim, G. and Poggi, J. M., “Wavelet Toolbox TM 4 User's Guide,” The MathWorks, Inc., 3 Apple, Hill Drive, Natick, MA 01760-2098, pp. 1~47
  5. Mba, P. D. and Bannister, R. H., 1999, “Condition Monitoring of Low-Speed Rotating Machinery Using Stress Waves: Part1 and Part2”, Proc. Inst. Mech. Eng. 213(3, Part E), pp. 153~185 https://doi.org/10.1243/0954408991529906
  6. Holroyd, T. and Randall, N., 1992, “The Use of Acoustic Emission for Machine Condition Monitoring”, Br. J. Non-Destruct. Test. 35(2), p. 75
  7. Mba, D., 2001, “The Detection of Shaft-Seal Rubbing in Large-Scale Turbines Using Acoustic Emission.” 14th International Comgress on Condition Monitoring and Diagnostic Engineering Management (COMADEM' 2001), Manchester, UK, 4-6 September pp. 21~28
  8. Mba, D., 2002, “Applicability of Acoustic Emissions to Monitoring the Mechanical Integrity of Bolted Structures in Low Speed Rotating Machinery: Case Study,” NDT E Inst. 35(5), pp. 293~300 https://doi.org/10.1016/S0963-8695(01)00053-6
  9. Mba, D., Cooke, A., Roby, D. and Hewitt, G., 2003, “Opportunities Offered by Acoustic Emission for Shaft-Steal Rubbing in Power Generation Turbines: A Case Study,” International Conference on Condition Monitoring, Oxford, Sponsored by the British Institute of NDT UK, 2-4 July pp. 280-286, ISBN 1901892174
  10. Lee, S. K. and Sim, J. S., 2001, “Fault Detection of a Gear with Initial Pitting using the Zoomed Phase Map of Continuous Wavelet Transform,” Transactions of the KSME A, Vol. 25, No. 11, pp. 1759~1766

Cited by

  1. Evaluation of weldability for resistance spot welded single-lap joint between GA780DP and hot-stamped 22MnB5 steel sheets vol.25, pp.6, 2011, https://doi.org/10.1007/s12206-011-0408-x
  2. A Study on the Improvement of a Damageability and Repairability by Improving Mounting Structure of a Bumper for Passenger Cars vol.34, pp.1, 2010, https://doi.org/10.3795/KSME-A.2010.34.1.1
  3. Feature Analysis Based on Beta Distribution Model for Shaving Tool Condition Monitoring vol.34, pp.1, 2010, https://doi.org/10.3795/KSME-A.2010.34.1.11
  4. based ceramic matrix composites vol.146, pp.1757-899X, 2016, https://doi.org/10.1088/1757-899X/146/1/012005