524
REFERENCES
[1] Zimoz, R., Wodecki, J., Hebda-Sobkowicz, J., Wyłomanska, A., Stefaniak, P., Sliwinski, P.,
Kaniewski, T., Mobile based vibration monitoring and its application to road quality monitoring
in deep underground mine, Vibroengineering PROCEDIA, Vol. 19, 2018, p. 153–158. https://doi.
org/10.21595/vp.2018.20211.
[1] 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).
[3] Wang, H., Huo, N., Li, J., Wang, K., Wang, Z. A road quality detection method based on the
mahalanobis-taguchi system. IEEE Access, Vol. 6, 2018, p. 29078–29087.
[4] Tai, Y.-C., Chan, C.-W., Hsu, J.-Y.-J. Automatic road anomaly detection using smart mobile device.
Conference on Technologies and Applications of Artificial Intelligence, Hsinchu, Taiwan, 2010.
[5] Sandberg, U. S. Road macro-and megatexture influence on fuel consumption. Surface Characteristics of Roadways: International Research and Technologies, 1990).
[6] Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., Balakrishnan, H. The pothole patrol:
using a mobile sensor network for road surface monitoring. Proceedings of the 6th International
Conference on Mobile Systems, Applications, and Services, 2008, p. 29–39.
[7] Forslöf, J. Continuous road condition monitoring with smartphones. Roadroid AB, 2014.
[8] Astarita, V., Caruso, M.V., Danieli, G., Festa, D.C., Giofrè, V.P., Iuele, T., Vaiana, R. A mobile
application for road surface quality control: Uniqualroad. Procedia-Social and Behavioral Sciences, Vol. 54, 2012, p. 1135–1144.
[9] Gustafso, 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.
[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monitoringu i transmisji danych technologicznych pracy samojezdnych maszyn górniczych w KGHM Polska Miedź S.A. unpublished technical report prepared for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] 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).
[12] Zimroz, R. et al. 2014 Self-propelled Mining Machine Monitoring System—Data Validation,
Processing and Analysis. In: Drebenstedt C., Singhal R. (eds) Mine Planning and Equipment Selection. 2014, p. 1285–1294. Springer, Cham.
[13] Kępski, P., Barszcz, T.: Validation of vibration signals for diagnostics of mining machinery. Diagnostyka 4(64), 25–30 (2012).
[14] 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.
[15] 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.
[16] 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.
REFERENCES
[1] Zimoz, R., Wodecki, J., Hebda-Sobkowicz, J., Wyłomanska, A., Stefaniak, P., Sliwinski, P.,
Kaniewski, T., Mobile based vibration monitoring and its application to road quality monitoring
in deep underground mine, Vibroengineering PROCEDIA, Vol. 19, 2018, p. 153–158. https://doi.
org/10.21595/vp.2018.20211.
[1] 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).
[3] Wang, H., Huo, N., Li, J., Wang, K., Wang, Z. A road quality detection method based on the
mahalanobis-taguchi system. IEEE Access, Vol. 6, 2018, p. 29078–29087.
[4] Tai, Y.-C., Chan, C.-W., Hsu, J.-Y.-J. Automatic road anomaly detection using smart mobile device.
Conference on Technologies and Applications of Artificial Intelligence, Hsinchu, Taiwan, 2010.
[5] Sandberg, U. S. Road macro-and megatexture influence on fuel consumption. Surface Characteristics of Roadways: International Research and Technologies, 1990).
[6] Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., Balakrishnan, H. The pothole patrol:
using a mobile sensor network for road surface monitoring. Proceedings of the 6th International
Conference on Mobile Systems, Applications, and Services, 2008, p. 29–39.
[7] Forslöf, J. Continuous road condition monitoring with smartphones. Roadroid AB, 2014.
[8] Astarita, V., Caruso, M.V., Danieli, G., Festa, D.C., Giofrè, V.P., Iuele, T., Vaiana, R. A mobile
application for road surface quality control: Uniqualroad. Procedia-Social and Behavioral Sciences, Vol. 54, 2012, p. 1135–1144.
[9] Gustafso, 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.
[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] 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).
[12] Zimroz, R. et al. 2014 Self-propelled Mining Machine Monitoring System—Data Validation,
Processing and Analysis. In: Drebenstedt C., Singhal R. (eds) Mine Planning and Equipment Selection. 2014, p. 1285–1294. Springer, Cham.
[13] Kępski, P., Barszcz, T.: Validation of vibration signals for diagnostics of mining machinery. Diagnostyka 4(64), 25–30 (2012).
[14] 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.
[15] 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.
[16] 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.