Reliability-based covariate analysis for complex systems in heterogeneous environment: Case study of mining equipment
| Autor: | Javad Sattarvand, Amin Moniri-Morad, Mohammad Pourgol-Mohammad, H. Aghababaei |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
021103 operations research
Computer science 020209 energy 0211 other engineering and technologies Complex system Maintainability Statistical model 02 engineering and technology Reliability engineering Lead (geology) Covariate analysis 0202 electrical engineering electronic engineering information engineering Safety Risk Reliability and Quality Reliability (statistics) Production system |
| Zdroj: | Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 233:593-604 |
| ISSN: | 1748-0078 1748-006X |
| DOI: | 10.1177/1748006x18807091 |
| Popis: | Operational heterogeneity and harsh environment lead to major variations in production system performance and safety. Traditional probabilistic model is dealt with time-to-event data analysis, which does not have the capability of quantifying and simulation of these types of complexities. This research proposes an integrated methodology for analyzing the impact of dominant explanatory variables on the complex system reliability. A flexible parametric proportional hazards model is developed by focusing on standard parametric Cox regression model for reliability evaluation in complex systems. To achieve this, natural cubic splines are utilized to create a smooth and flexible baseline hazards function where the standard parametric distribution functions do not fit into the failure data set. A real case study is considered to evaluate the reliability for multi-component mechanical systems such as mining equipment. Different operational and environmental explanatory variables are chosen for the analysis process. Research findings revealed that precise estimation of the baseline hazards function is a major part of the reliability evaluation in heterogeneous environment. It is concluded that an appropriate maintenance strategy potentially mitigate the equipment failure intensity. |
| Databáze: | OpenAIRE |
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