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THE MULTIVARIATE ANALYSIS OF MONITORING SYSTEM DATA FROM MINING DRILLING MACHINE
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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.
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.
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.
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.
Nishimatsu Y.: The Mechanics of Rock Cutting. International Journal of Rock Mechanics and Mining Science, Vol. 9, pp. 261-270, 1972.
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.
Pfister P.: Recording Drilling Parameters in Ground Engineering, Geodrilling, October, 1985.
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.
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
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
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.
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.
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.
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.
Nishimatsu Y.: The Mechanics of Rock Cutting. International Journal of Rock Mechanics and Mining Science, Vol. 9, pp. 261-270, 1972.
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.
Pfister P.: Recording Drilling Parameters in Ground Engineering, Geodrilling, October, 1985.
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.
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
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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