Diagnosing the Cause of Operational Faults in Machine Tools with an Open Architecture CNC

  • Kim Dong Hoon (Intelligent Machins Systems Research Center, Korea Institute of Machinery & Materials (KIMM)) ;
  • Kim Sun Ho (Department of Mechatronics Engineering, Dong- Eui University) ;
  • Song Jun-Yeob (Intelligent Machine Systems Research Center, KIMM)
  • Published : 2005.08.01

Abstract

The conventional computerized numerical controller (CNC) of machine tools has been increasingly replaced by a PC-based open architecture CNC (OAC) that is independent of a CNC vendor. The OAC and machine tools with an OAC have led to a convenient environment in which user-defined applications can be efficiently implemented within a CNC. This paper proposes a method of diagnosing the cause of operational faults. The method is based on the status of a programmable logic controller in machine tools with an OAC. An operational fault is defined as a disability that occurs during the normal operation of machine tools. Operational faults constitute more than 70 percent of all faults and are also unpredictable because most of them occur without any warning. To quickly and correctly diagnose the cause of an operational fault, two diagnostic models are proposed: the switching function and the step switching function. The cause of the fault is logically diagnosed through a fault diagnosis system using diagnostic models. A suitable interface environment between a CNC and developed application modules is constructed to implement the diagnostic functions in the CNC domain. The results of the diagnosis were displayed on a CNC monitor for machine operators and transmitted to a remote site through a Web browser. The proposed diagnostic method and its results were useful to unskilled machine operators and reduced the machine downtime.

Keywords

References

  1. Erol, N. A., Altintas, Y. and Ito, M. R., 2000, 'Open System Architecture Modular Tool Kit for Motion and Machining Process Control,' IEEE/ASME Transactions on Mechatronics, Vol. 5, No.3, pp. 281-291 https://doi.org/10.1109/3516.868920
  2. Guasch, A., Quevedo, J. and Milne, R., 2000, 'Fault Diagnosis for Gas Turbines Based on the Control System Engineering,' Application of Artificial Intelligence, Vol. 13, pp. 477-484 https://doi.org/10.1016/S0952-1976(00)00014-2
  3. Hu, W., Starr, A. G. and Leung, A. Y. T., 1999, 'Two Diagnostic Models for Plc Controlled Flexible Manufacturing Systems,' International Journal of Machine Tools & Manufacture, Vol. 39, pp. 1979-1991 https://doi.org/10.1016/S0890-6955(99)00022-X
  4. Hu, W., Starr, A. G., Zhou, Z. and Leung, A. Y. T., 2000, 'A systematic Approach to Integrated Fault Diagnosis of Flexible Manufacturing Systems,' International Journal of Machine Tools & Manufacture, Vol. 40, pp. 1587-1602 https://doi.org/10.1016/S0890-6955(00)00016-X
  5. Hu, W., Starr, A. G., Zhou, Z. and Leung, A., 2001, 'An Intelligent Integrated System Scheme for Machine Tool Diagnostics,' International Journal of Advanced Manufacturing Technology, Vol. 18, pp. 836-841 https://doi.org/10.1007/s001700170009
  6. Kim, D. H., Kim, S. H., Koh, K. S., 2005, 'A Scheme for an Internet-based Checking Method of Machine-Tools with Variant CNC Architecture,' Journal of Mechanical Science and Technology, Vol. 19, No. 1, pp.97-105 https://doi.org/10.1007/BF02916108
  7. Kim, S. H., Kim, D. H., Kim, D. Y., Han, G. S. and Kim, J. H., 2001, 'LAT System for Fault Tree Generation,' Proceedings of the KSPE Autumn Conference, pp.442-445
  8. Kim, S. H., Kim, D. H. and Park, K. T., 2000, 'Open Manufacturing System Using MMS Service and Object Oriented Manufacturing Devices,' Journal of KSPE, Vol. 17, No. 10, pp.4l-48
  9. Kang, D. C. and Kang, M. J., 1999, 'A Study on an Internet-based Remote Diagnosis System for Machine-tool Failures,' Journal of KSPE, Vol. 16, No.9, pp. 75-81
  10. Lee, D. J., Kim, S. H. and Ahn, J. H., 2004, 'Breakage Detection of Small-Diameter Tap Using Vision System in High-Speed Tapping Machine with Open Architecture Controller,' KSME International Journal, Vol. 18, No.7, pp. 1055-1061
  11. Oldknow, K. D. and Yellowley, I., 2001, 'Design, Implementation and Validation of a System for the Dynamic Reconfiguration of Open Architecture Machine Tool Controls,' International Journal of Machine Tools & Manufacture, Vol. 41, pp. 795-808 https://doi.org/10.1016/S0890-6955(00)00109-7
  12. Ong, S. K., An, N. and Nee, A. Y. C., 2001, 'Web-based Fault Diagnostic and Learning System,' International Journal of Advanced Manufacturing Technology, Vol. 18, pp. 502-511 https://doi.org/10.1007/s0017010180502
  13. Rao, R. V. and Gandhi, O. P., 2002, 'Failure Cause Analysis of Machine Tools Using Digraph and Matrix Methods,' International Journal of Machine Tools & Manufacture, Vol. 42, pp. 521- 528 https://doi.org/10.1016/S0890-6955(01)00135-3
  14. Rober, S.J. and Shin, Y. C., 1995, 'Modeling and Control of CNC Machines Using a PC-based Open Architecture Controller,' Mechatronics, Vol. 5, No.4, pp. 401-420 https://doi.org/10.1016/0957-4158(95)00009-T
  15. Tahk, K. M., Shin, K. H., 2002, 'A Study on the Fault Diagnosis of Roller-Shape Using Frequency Analysis of Tension Signals and Artificial Neural Networks Based Approach in a Web Transport System,' KSME International Journal, Vol. 16, No. 12, pp. 1604-1612
  16. TurboTek, 2001, Operating Manual for Turbo HX-M
  17. Wright, P. K., 1995, 'Principles of Open-architecture Manufacturing. Journal of Manufacturing Systems,' Vol. 14, No.3, pp. 187-202 https://doi.org/10.1016/0278-6125(95)98886-B
  18. Yellowley, I. and Pottier, P. R., 1994, 'The Integration of Process and Geometry Within an Open Architecture Machine Tool Controller,' International Journal of Machine Tools & Manufacture, Vol. 34, No.2, pp.277-293 https://doi.org/10.1016/0890-6955(94)90106-6
  19. Zhou, Z. D., Chen, Y. P., Fuh, J. Y. H. and Nee, A. Y. C., 2000, 'Integrated Condition Monitoring and Diagnosis for Modern Manufacturing Systems,' Annals of the CIRP, Vol. 49, pp. 387-390 https://doi.org/10.1016/S0007-8506(07)62971-0