533
[2] Kohler, J.L., et al.: On-board electrical diagnostic system to improve the availability of continuous
mining machines. Mining Engineering 46(8), 987–990 (1994).
[3] Thompson, R.J. et al.: Mine road maintenance management using haul truck response measurements. Institution of Mining and Metallurgy. Transactions. Section A: Mining Technology 115(4),
123–128 (2006).
[4] Kicki, J. & Dyczko, A.: The concept of automation and monitoring of the production process in an
underground mine. In: New Techniques and Technologies in Mining—Proceedings of the School
of Underground Mining, pp. 245–253 (2010).
[5] Gustafson A., Schunnesson H., Galar D., Kumar U. The influence of the operating environment
on manual and automated load-haul-dump machines: a fault tree analysis. International Journal of
Mining, Reclamation and Environment, Vol. 27, 2013, p. 75–87.
[6] Wodecki, J. et al.: Technical condition change detection using Anderson–Darling statistic approach
for LHD machines–engine overheating problem 2018 International Journal of Mining, Reclamation and Environment 32(6), pp. 392–400.
[7] Zimroz R., Wodecki J., Król R., Andrzejewski M., Śliwiński P., Stefaniak P. Self-propelled mining
machine monitoring system-data validation, processing and analysis. In: Drebenstedt C., Singhal
R. (eds) Mine Planning and Equipment Selection. Springer, Cham, 2014, p. 1285–1294.
[8] Kępski, P., Barszcz, T.: Validation of vibration signals for diagnostics of mining machinery. Diagnostyka 4(64), 25–30 (2012).
[9] Stefaniak P. et al.: An Effectiveness Indicator for a Mining Loader Based on the Pressure Signal
Measured at a Bucket’s Hydraulic Cylinder Procedia Earth and Planetary Science 15, 797–805.
[10] Dyczko A., et al.: Koncepcja monitoringu i transmisji danych technologicznych pracy samojezdnych maszyn górniczych w KGHM Polska Miedź S.A. unpublished technical report prepared for
KGHM PM SA (in Polish).
[11] Stefaniak P. et al. (2016), Multidimensional Signal Analysis for Technical Condition, Operation
and Performance Understanding of Heavy Duty Mining Machines. In: Chaari F., Zimroz R.,
Bartelmus W., Haddar M. (eds) Advances in Condition Monitoring of Machinery in Non-Stationary
Operations. CMMNO 2014. Applied Condition Monitoring, vol 4. Springer, Cham.
[12] Wyłomańska, A. & Zimroz, R. Signal segmentation for operational regimes detection of heavy
duty mining mobile machines—a statistical approach Diagnostyka 2014 Vol. 15, No. 2.
[13] P.J. Brockwell, R.A. Davis, Introduction to Time Series and Forecasting, Springer, 2002.
[14] Bartkowiak, A., Zimroz, R. Dimensionality reduction via variables selection—Linear and nonlinear approaches with application to vibration-based condition monitoring of planetary gearbox
2014 Applied Acoustics 77, pp. 169–177.
[15] Bartkowiak, A., Zimroz, R. Data dimension reduction and visualization with application to multidimensional gearbox diagnostics data: Comparison of several methods 2012 Solid State Phenomena 180, pp. 177–184.
[2] Kohler, J.L., et al.: On-board electrical diagnostic system to improve the availability of continuous
mining machines. Mining Engineering 46(8), 987–990 (1994).
[3] Thompson, R.J. et al.: Mine road maintenance management using haul truck response measurements. Institution of Mining and Metallurgy. Transactions. Section A: Mining Technology 115(4),
123–128 (2006).
[4] Kicki, J. & Dyczko, A.: The concept of automation and monitoring of the production process in an
underground mine. In: New Techniques and Technologies in Mining—Proceedings of the School
of Underground Mining, pp. 245–253 (2010).
[5] Gustafson A., Schunnesson H., Galar D., Kumar U. The influence of the operating environment
on manual and automated load-haul-dump machines: a fault tree analysis. International Journal of
Mining, Reclamation and Environment, Vol. 27, 2013, p. 75–87.
[6] Wodecki, J. et al.: Technical condition change detection using Anderson–Darling statistic approach
for LHD machines–engine overheating problem 2018 International Journal of Mining, Reclamation and Environment 32(6), pp. 392–400.
[7] Zimroz R., Wodecki J., Król R., Andrzejewski M., Śliwiński P., Stefaniak P. Self-propelled mining
machine monitoring system-data validation, processing and analysis. In: Drebenstedt C., Singhal
R. (eds) Mine Planning and Equipment Selection. Springer, Cham, 2014, p. 1285–1294.
[8] Kępski, P., Barszcz, T.: Validation of vibration signals for diagnostics of mining machinery. Diagnostyka 4(64), 25–30 (2012).
[9] Stefaniak P. et al.: An Effectiveness Indicator for a Mining Loader Based on the Pressure Signal
Measured at a Bucket’s Hydraulic Cylinder Procedia Earth and Planetary Science 15, 797–805.
[10] Dyczko A., et al.: Koncepcja monitoringu i transmisji danych technologicznych pracy samojezdnych maszyn górniczych w KGHM Polska Miedź S.A. unpublished technical report prepared for
KGHM PM SA (in Polish).
[11] Stefaniak P. et al. (2016), Multidimensional Signal Analysis for Technical Condition, Operation
and Performance Understanding of Heavy Duty Mining Machines. In: Chaari F., Zimroz R.,
Bartelmus W., Haddar M. (eds) Advances in Condition Monitoring of Machinery in Non-Stationary
Operations. CMMNO 2014. Applied Condition Monitoring, vol 4. Springer, Cham.
[12] Wyłomańska, A. & Zimroz, R. Signal segmentation for operational regimes detection of heavy
duty mining mobile machines—a statistical approach Diagnostyka 2014 Vol. 15, No. 2.
[13] P.J. Brockwell, R.A. Davis, Introduction to Time Series and Forecasting, Springer, 2002.
[14] Bartkowiak, A., Zimroz, R. Dimensionality reduction via variables selection—Linear and nonlinear approaches with application to vibration-based condition monitoring of planetary gearbox
2014 Applied Acoustics 77, pp. 169–177.
[15] Bartkowiak, A., Zimroz, R. Data dimension reduction and visualization with application to multidimensional gearbox diagnostics data: Comparison of several methods 2012 Solid State Phenomena 180, pp. 177–184.