Quadrilateral-Star Transformation: An Aid for Reliability Evaluation of Large Complex Systems

1982 ◽  
Vol R-31 (1) ◽  
pp. 49-50 ◽  
Author(s):  
J.P. Gadani ◽  
K.B. Misra
Keyword(s):  
Complex Systems ◽  
Reliability Evaluation ◽  
Large Complex

scholarly journals Nonlinearity-generated resilience in large complex systems

2021 ◽  
Vol 103 (2) ◽  
Author(s):  
S. Belga Fedeli ◽  
Y. V. Fyodorov ◽  
J. R. Ipsen
Keyword(s):  
Complex Systems ◽  
Large Complex

Dynamic response of large complex systems

1960 ◽  
Vol 269 (4) ◽  
pp. 274-298
Author(s):  
Mihajlo D. Mesarović
Keyword(s):  
Dynamic Response ◽  
Complex Systems ◽  
Large Complex

Reliability-based covariate analysis for complex systems in heterogeneous environment: Case study of mining equipment

2018 ◽  
Vol 233 (4) ◽  
pp. 593-604
Author(s):  
Amin Moniri-Morad ◽  
Mohammad Pourgol-Mohammad ◽  
Hamid Aghababaei ◽  
Javad Sattarvand
Keyword(s):  
Complex Systems ◽  
Cox Regression ◽  
Reliability Evaluation ◽  
Distribution Functions ◽  
Heterogeneous Environment ◽  
Mining Equipment ◽  
Data Set ◽  
Explanatory Variables ◽  
The Impact

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.

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