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Original Articles

Technical condition change detection using Anderson–Darling statistic approach for LHD machines – engine overheating problem

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Pages 392-400 | Received 01 Jun 2017, Accepted 26 Jul 2017, Published online: 20 Nov 2017

References

  • A. Laukka , J. Saari , J. Ruuska , E. Juuso , and S. Lahdelma , Condition-based monitoring for underground mobile machines , Int. J. Ind. Syst. Eng. 23 (2016), pp. 74–89.
  • R. Zimroz , J. Wodecki , R. Król , M. Andrzejewski , P. Sliwinski , and P. Stefaniak , Self-propelled mining machine monitoring system -- data validation, processing and analysis , in Mine Planning and Equipment Selection , Springer, Dresden, Germany, 2014, pp. 1285–1294.
  • A. Gustafson , H. Schunnesson , D. Galar , and U. Kumar , The influence of the operating environment on manual and automated load-haul-dump machines: a fault tree analysis , Int. J. Mining Reclam. Environ. 27 (2013), pp. 75–87.
  • A. Gustafson , M. Lipsett , H. Schunnesson , D. Galar , and U. Kumar , Development of a Markov model for production performance optimisation. Application for semi-automatic and manual LHD machines in underground mines , Int. J. Min. Reclam. Environ. 28 (2014), pp. 342–355.
  • L.-R. Cui , Y. Hayakawa , A. Gustafson , H. Schunnesson , D. Galar , and U. Kumar , Production and maintenance performance analysis: manual versus semi-automatic LHDs , J. Qual. Maint. Eng. 19 (2013), pp. 74–88.
  • U. Kumar , Reliability analysis of load-haul-dump machines, Ph.D. thesis, Luleå tekniska universitet, 1990.
  • P. Stefaniak , R. Zimroz , J. Obuchowski , P. Sliwinski , and M. Andrzejewski , An effectiveness indicator for a mining loader based on the pressure signal measured at a bucket’s hydraulic cylinder , Proc. Earth Planet. Sci. 15 (2015), pp. 797–805.
  • J. Wodecki , P.K. Stefaniak , P. Sliwinski , and M. Andrzejewski , Condition monitoring of loading-haulage-dumping machines based on long-term analysis of temperature data , SGEM2016 Conf. Proc. 2 (2016), pp. 157–164.
  • Y. Rathi , O. Michailovich , J. Malcolm , and A. Tannenbaum , Seeing the unseen: Segmenting with distributions , International Conference of Signal and Image Processing, Vol. 534, London, Berlin, New York, 2006.
  • F.J. Massey Jr , The Kolmogorov--Smirnov test for goodness of fit , J. Am. Stat. Assoc. 46 (1951), pp. 68–78.
  • F. Laio , Cramer--von Mises and Anderson--Darling goodness of fit tests for extreme value distributions with unknown parameters , Water Resour. Res. 40 (2004). DOI: 10.1029/2004WR003204.
  • N.M. Razali , Y.B. Wah , et al. , Power comparisons of Sapiro--Wilk, Kolmogorov--Smirnov, Lilliefors and Anderson--Darling tests , J. Stat. Model. Anal. 2 (2011), pp. 21–33.
  • S. Engmann and D. Cousineau , Comparing distributions: the two-sample Anderson--Darling test as an alternative to the Kolmogorov--Smirnoff test , J. Appl. Quant. Methods 6 (2011), pp. 1–17.
  • A.N. Pettitt , A two-sample Anderson--Darling rank statistic . Biometrika 63 (1976), pp. 161–168.
  • P. Cizek , W.K. Härdle , and R. Weron , Statistical Tools for Finance and Insurance , Springer Science & Business Media, London, Berlin, New York, 2005.
  • A.W. Bowman and A. Azzalini , Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations , Vol. 18, OUP Oxford, London, Berlin, New York, 1997.

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