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CONDITION MONITORING OF LOADING-HAULAGE-DUMPING MACHINES BASED ON LONG-TERM ANALYSIS OF TEMPERATURE DATA

Wodecki, . Jacek, Stefaniak, . Pawel, Zimroz, Radoslaw, Sliwinski, . Pawel, Andrzejewski, . Marek

First published: 2016-06-28https://doi.org/10.5593/sgem2016/b12/s03.021View metrics

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Publication details

Title
CONDITION MONITORING OF LOADING-HAULAGE-DUMPING MACHINES BASED ON LONG-TERM ANALYSIS OF TEMPERATURE DATA
Authors
Wodecki, . Jacek, Stefaniak, . Pawel, Zimroz, Radoslaw, Sliwinski, . Pawel, Andrzejewski, . Marek
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
157-164
ISSN
1314-2704
ISBN
978-619-7105-56-8
Language
en
Publication type
Conference Paper
References24
  1. Zimroz R., Wodecki J., Krol R., Andrzejewski M., Sliwinski P., Stefaniak P.K. Self- propelled mining machine monitoring system - data validation, processing and analysis. Mine planning and equipment selection: proceedings of the 22nd MPES Conference, C. Drebenstedt, R. Singhal Dresden, (2014), pp. 1285–

  2. Gajda J., Sikora G., Wylomanska A. Regime variance testing - a quantile approach, Acta Phys. Polon B 44(5), 2013 pp. 1015-1035.

  3. Wyłomańska A., Zimroz R. Signal segmentation for operational regimes detection of heavy duty mining mobile machines- a statistical approach, Diagnostyka 15(2), 2014 pp. 33-42. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016

  4. Azami H., Mohammadi K., Bozorgtabar B. An improved signal segmentation using moving average and Savitzky-Golay filter, Journal of Signal and Information Processing 3, 2012 pp. 39-44.

  5. Rathi Y., Michailovich O., Malcolm J., Tannenbaum A., Seeing the unseen: Segmenting with distributions, Intl. Conf. Signal and Image Processing, vol.534 2006

  6. Bowman, A. W., Azzalini A. Applied Smoothing Techniques for Data Analysis. New York: Oxford University Press Inc., 1997

  7. Bonnick A . Vehicle Electronic Systems and Fault Diagnosis, Routledge, ISBN-10: 041550301, 1998

  8. Junnuri, R., Kamat, A., Tanpure, T., Hamano, K., Engine Coolant Temperature Modeling for Control and Diagnostics, SAE Technical Paper 2015-01-1988, DOI: 10.4271/2015-01- 1988, 2015

  9. Yoo I., Simpson K., Bell M., and Majkowski S., An Engine Coolant Temperature Model and Application for Cooling System Diagnosis, SAE Technical Paper 2000-01-0939, DOI: 10.4271/2000-01-0939. 2000

  10. Wylomanska A. How to identify the proper model , Acta Phys. Polon. B 43(5), 2012, 1241- 1253.

  11. Arce G.R., Nonlinear Signal Processing: A Statistical Approach, Wiley: New Jersey, USA.

  12. Devroye L. Non-Uniform Random Variate Generation, New York: Springer-Verlag. 1986 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

  13. Zimroz R., Wodecki J., Krol R., Andrzejewski M., Sliwinski P., Stefaniak P.K. Self- propelled mining machine monitoring system - data validation, processing and analysis. Mine planning and equipment selection: proceedings of the 22nd MPES Conference, C. Drebenstedt, R. Singhal Dresden, (2014), pp. 1285–

  14. Gajda J., Sikora G., Wylomanska A. Regime variance testing - a quantile approach, Acta Phys. Polon B 44(5), 2013 pp. 1015-1035.

  15. Wyłomańska A., Zimroz R. Signal segmentation for operational regimes detection of heavy duty mining mobile machines- a statistical approach, Diagnostyka 15(2), 2014 pp. 33-42. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016

  16. Azami H., Mohammadi K., Bozorgtabar B. An improved signal segmentation using moving average and Savitzky-Golay filter, Journal of Signal and Information Processing 3, 2012 pp. 39-44.

  17. Rathi Y., Michailovich O., Malcolm J., Tannenbaum A., Seeing the unseen: Segmenting with distributions, Intl. Conf. Signal and Image Processing, vol.534 2006

  18. Bowman, A. W., Azzalini A. Applied Smoothing Techniques for Data Analysis. New York: Oxford University Press Inc., 1997

  19. Bonnick A . Vehicle Electronic Systems and Fault Diagnosis, Routledge, ISBN-10: 041550301, 1998

  20. Junnuri, R., Kamat, A., Tanpure, T., Hamano, K., Engine Coolant Temperature Modeling for Control and Diagnostics, SAE Technical Paper 2015-01-1988, DOI: 10.4271/2015-01- 1988, 2015

  21. Yoo I., Simpson K., Bell M., and Majkowski S., An Engine Coolant Temperature Model and Application for Cooling System Diagnosis, SAE Technical Paper 2000-01-0939, DOI: 10.4271/2000-01-0939. 2000

  22. Wylomanska A. How to identify the proper model , Acta Phys. Polon. B 43(5), 2012, 1241- 1253.

  23. Arce G.R., Nonlinear Signal Processing: A Statistical Approach, Wiley: New Jersey, USA.

  24. Devroye L. Non-Uniform Random Variate Generation, New York: Springer-Verlag. 1986 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

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Number of times cited according to Crossref: 2

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