The Application of Frailty Model in Remaining Useful Life Estimation (Case Study: Sungun Copper Mine's Loading System)

Autor: Awat Ghomghale, Mohammad Ataei, Reza Khalokakaie, Abbas Barabadi, Ali Nouri Qarahasanlou
Jazyk: perština
Rok vydání: 2020
Předmět:
Zdroj: مجله مدل سازی در مهندسی, Vol 18, Iss 62, Pp 129-142 (2020)
Druh dokumentu: article
ISSN: 2008-4854
2783-2538
DOI: 10.22075/jme.2020.19249.1817
Popis: The Residual Useful Life (RUL) provides an estimate of the amount of remaining useful life before a system failure depends on present conditions and past operating profiles. In this paper, RUL is estimated based on reliability and for convergence to more realistic results, the effect of operating environment conditions in the form of risk factors (covariates) is also involved in the analysis. These environmental conditions are sometimes tangible and "Observable" and sometimes it is not possible to determine and include them in the analysis and are analyzed under the heading of “Un-observed risk factors” using the frailty model. RUL analysis of a case study of the loading system (Shovel Komatsu 1250) of the Sungun copper mine, based on 8-months information, has shown that Weibull mix proportional hazard (W-MPHM) has the best fit on the data. In this model, four factors including shift risk, rock kind, load system type and rainfall with risk rates of 2.66, 3.79, 0.204 and 1.18 have been obtained as the most effective factors. System RUL became zero in the next two scenarios in about 40 hours. Comparing W-MPHM and Ex-PHM over 80 hours showed that the concurrence of the reliability curve in the second model is greater than the first model and in fact, the reliability decline rate is higher at the beginning of the range. This result reflects the impact of intangible risk factors on system performance analysis, regardless of which will result in significant inconsistency of the results.
Databáze: Directory of Open Access Journals
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