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THE MULTIVARIATE ANALYSIS OF MONITORING SYSTEM DATA FROM MINING DRILLING MACHINE

P. Stefaniak, J. Wodecki, R. Zimroz, P. Sliwinski, M. Andrzejewski

First published: 2016-06-28https://doi.org/10.5593/sgem2016/b12/s03.117View metrics

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Title
THE MULTIVARIATE ANALYSIS OF MONITORING SYSTEM DATA FROM MINING DRILLING MACHINE
Authors
P. Stefaniak, J. Wodecki, R. Zimroz, P. Sliwinski, M. Andrzejewski
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 16th International Multidisciplinary Scientific GeoConference SGEM2016, Science and Technologies in Geology, Exploration and Mining
Publisher
Stef92 Technology
Year
2016
Pages
913-920
ISSN
1314-2704
ISBN
978-619-7105-56-8
Language
en
Publication type
Conference Paper
References20
  1. Al-Chalabi H.S., Lundberg J., Wijaya A., Ghodrati B.: Downtime analysis of drilling machines and suggestions for improvements. Journal of Quality in Maintenance Engineering Vol. 20 No. 4, pp. 306-332, 2014.

  2. Cutifani, M., Quinn, B. and Gurgenci, H.: Increased equipment reliability, safety and availability without necessarily increasing the cost of maintenance. Proceedings, Mining Technology Conference, Cooperative Research Center for Mining Technology, pp. 11 -12 Fremantle, WA. ,September, 1996.

  3. Dąbrowski M.: The supporting of exploitation and maintenance management within networked technical systems. Management Systems in Production Engineering 2015 R. 5 nr 2, s. 81-87.

  4. King R.L., Hicks M.A. Signer S.P.: Using Unsupervised Learning for Feature Detection in a Coal Mine Roof, Engineering Applications of Artificial Intelligence, Vol. 6, No. 6, pp. 565-573, 1993.

  5. Nishimatsu Y.: The Mechanics of Rock Cutting. International Journal of Rock Mechanics and Mining Science, Vol. 9, pp. 261-270, 1972.

  6. Okrent K, Studying the impact of the drilling process on the durability of cutting tools, PhD Thesis (in Polish), available at: http://winntbg.bg.agh.edu.pl/rozprawy2/10566/full10566.pdf.

  7. Pfister P.: Recording Drilling Parameters in Ground Engineering, Geodrilling, October, 1985.

  8. Stefaniak P., Zimroz R., Śliwiński P., Andrzejewski M., Wyłomańska A.: Multidimensional signal analysis for technical condition,operation and performance understanding of heavy duty mining machines. Advances in condition monitoring of machinery in non-stationary operations : proceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, Springer, cop. 2016. pp. 197-210.

  9. Stefaniak P., Zimroz R., Obuchowski J., Śliwiński P., An drzejewski M., An Effectiveness Indicator for a Mining Loader Based in the Pressure Signal Measured at a Bucket’s Hydraulic Cylinder, Procedia Earth and Planetary Science 15, pp 797-805, 2015

  10. Zimroz R., Wodecki J., Król R., Andrzejewski M., Śliwiński P., Stefaniak P.: Self-propelled Mining Machine Monitoring System - Data Validation, Processing and Analysis. Mine Planning and Equipment Selection, MPES 2013, ISBN 978 -3-319-02677, Springer 2013. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

  11. Al-Chalabi H.S., Lundberg J., Wijaya A., Ghodrati B.: Downtime analysis of drilling machines and suggestions for improvements. Journal of Quality in Maintenance Engineering Vol. 20 No. 4, pp. 306-332, 2014.

  12. Cutifani, M., Quinn, B. and Gurgenci, H.: Increased equipment reliability, safety and availability without necessarily increasing the cost of maintenance. Proceedings, Mining Technology Conference, Cooperative Research Center for Mining Technology, pp. 11 -12 Fremantle, WA. ,September, 1996.

  13. Dąbrowski M.: The supporting of exploitation and maintenance management within networked technical systems. Management Systems in Production Engineering 2015 R. 5 nr 2, s. 81-87.

  14. King R.L., Hicks M.A. Signer S.P.: Using Unsupervised Learning for Feature Detection in a Coal Mine Roof, Engineering Applications of Artificial Intelligence, Vol. 6, No. 6, pp. 565-573, 1993.

  15. Nishimatsu Y.: The Mechanics of Rock Cutting. International Journal of Rock Mechanics and Mining Science, Vol. 9, pp. 261-270, 1972.

  16. Okrent K, Studying the impact of the drilling process on the durability of cutting tools, PhD Thesis (in Polish), available at: http://winntbg.bg.agh.edu.pl/rozprawy2/10566/full10566.pdf.

  17. Pfister P.: Recording Drilling Parameters in Ground Engineering, Geodrilling, October, 1985.

  18. Stefaniak P., Zimroz R., Śliwiński P., Andrzejewski M., Wyłomańska A.: Multidimensional signal analysis for technical condition,operation and performance understanding of heavy duty mining machines. Advances in condition monitoring of machinery in non-stationary operations : proceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, Springer, cop. 2016. pp. 197-210.

  19. Stefaniak P., Zimroz R., Obuchowski J., Śliwiński P., An drzejewski M., An Effectiveness Indicator for a Mining Loader Based in the Pressure Signal Measured at a Bucket’s Hydraulic Cylinder, Procedia Earth and Planetary Science 15, pp 797-805, 2015

  20. Zimroz R., Wodecki J., Król R., Andrzejewski M., Śliwiński P., Stefaniak P.: Self-propelled Mining Machine Monitoring System - Data Validation, Processing and Analysis. Mine Planning and Equipment Selection, MPES 2013, ISBN 978 -3-319-02677, Springer 2013. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

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