Mean Residual Life Estimation Considering Operating Environment
2012 (English)Conference paper, Presentation (Refereed)
The cost of maintenance of mechanized and automated mining systems is too high necessitating efforts to enhance the effectiveness of maintenance systems and organization. For effective maintenance planning, it is important to have a good understanding of the reliability and availability characteristics of the systems. This is essential for determining the Mean Residual Life (MRL) of systems so that maintenance tasks could be planned effectively. In this paper we used the statistical approach to estimate MRL. A Weibull proportional hazard model (PHM) with time-independent covariates was considered for modelling of the hazard function so that operating environment could be integrated in the reliability analysis. Methods are presented for calculating the conditional reliability function and computing the MRL as a function of the current conditions to guarantee the desired output. The model is verified and validated using data from the Hydraulic system of an LHD fleet from a Swedish mine. The results obtained from the analysis is useful to estimate the remaining useful life of such system which can be subsequently used for effective maintenance planning and help controlling unplanned stoppages of highly mechanized and automated systems.
Place, publisher, year, edition, pages
Research subject Operation and Maintenance
IdentifiersURN: urn:nbn:se:ltu:diva-38557Local ID: cfcb9ed2-699b-4b95-b303-7997f5101125OAI: oai:DiVA.org:ltu-38557DiVA: diva2:1012058
International Conference on Quality, Reliability, Infocom Technology and Industrial Technology Management : 26/11/2012 - 28/11/2012
Godkänd; 2012; 20130513 (behzad)2016-10-032016-10-03Bibliographically approved