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Parameter Selection for Condition Monitoring of LCD Conveyance Robot by Using Vibration Signals

진동신호를 이용한 LCD 반송로봇의 상태감시 파라미터 선정

  • Received : 2011.05.24
  • Accepted : 2011.11.10
  • Published : 2011.12.01

Abstract

The purpose of this study is to perform parameter selection and develop a method for the condition monitoring of an LCD conveyance robot. To determine the vibration characteristics of the driving part of the robot, the gear mesh frequency (GMF) of the speed-reducing gearbox is calculated and confirmed by frequency analysis. In order to ensure reproducibility of the measured data, an appropriate working pattern is selected and experiments are carried out. For condition monitoring of the robot, a wireless measurement system is constructed and used in parameter selection, with the GMF as the center. A method involving the use of the standard deviation of the measured data and another method involving the use of multiple value of amplitude are proposed.

Keywords

Condition Monitoring;Conveyance Robot;Frequency Analysis

Acknowledgement

Supported by : 중소기업청

References

  1. Kim, D. H. and Choi, Y. S., 2006, "Bearing Fault Diagnosis Using Automaton Through Quantization of Vibration Signals," Transaction of the Korean Society for Noise and Vibration Engineering, Vol. 16, No. 5, pp. 495-502. https://doi.org/10.5050/KSNVN.2006.16.5.495
  2. Choi, Y. C. and Kim, Y. H., 2000, "Early Detection of Faults in a Ball Bearing System," Proceedings of the KSNVE fall conference, pp. 1102-1107.
  3. Kim, Y. M., Kwon, M. J., Lee, D. J. and Chun, M. G., 2008, "A Development of Fault Diagnosis Algorithm for BLDC Motor Using Component Analysis," Proceedings of KISS fall conference, Vol. 18, No. 2, pp. 216-219.
  4. Park, S. T., Gim, J. W. and Yang, J., 2002, "TheDetection of Gear Failures Using Wavelet Transform,"Proceedings of KSNVE fall conference, pp. 784-787.
  5. Kim, H. S. and Lee, S. K., 2002, "Bearing Fault Diagnostics in a Gearbox," Proceedings of KSNVE fall conference, pp. 611-616.
  6. Kim, Y. I., Oh, H. K. and Yu, Y. H., 2006, "The Fault Diagnosis Method of Diesel Engines Using a Statistical Analysis Method," Transaction of Journal of the Korean Society of Marine Engineering, Vol. 30, No. 2, pp. 247-252.
  7. Cheon, J., Chai, J., Kim, T., Kim, Y., Hong, S. and Seo, U., 2001, "Development of a Diagnostic System for a Fuelling Machine," Proceedings of the KSNVE spring conference, pp. 596-602.
  8. Lee, S. K., 2003, "Fault Detection and Damage Pattern Analysis of a Gearbox Using the Power Spectra Density and Artificial Neural Network," Trans. of the KSME (A), Vol. 27, No. 4, pp. 537-543. https://doi.org/10.3795/KSME-A.2003.27.4.537
  9. Yang, B. S., 2006, Machinery Vibration Monitoring and Diagnosis, Inter Vision, pp. 261-263.
  10. Logan, K., 2003, "Prognostic Software Agents for Machinery Health Monitoring," Proceedings of IEEE aerospace conference, pp. 3213-3225.