Reliability Evaluation of Complex Electrical System using Decomposition Method - A Case Study

2019 ◽  
Author(s):  
Aditya Tiwari
Keyword(s):  
Decomposition Method ◽  
Reliability Evaluation ◽  
Electrical System

scholarly journals Reliability Evaluation Of The City Transport Buses Under Actual Conditions

2015 ◽  
Vol 16 (4) ◽  
pp. 259-266 ◽  
Author(s):  
Joanna Rymarz ◽  
Andrzej Niewczas ◽  
Jozef Stoklosa
Keyword(s):  
Complex Systems ◽  
Reliability Index ◽  
Air Conditioning ◽  
Weibull Model ◽  
Reliability Evaluation ◽  
Electrical System ◽  
Driving System ◽  
Central Heating ◽  
The City

Abstract The purpose of this paper was to present a reliability comparison of two types of city transport buses. Case study on the example of the well-known brands of city buses: Solaris Urbino 12 and Mercedes-Benz 628 Conecto L used at Municipal Transport Company in Lublin was presented in details. A reliability index for the most failure parts and complex systems for the period of time failures was determined. The analysis covered damages of the following systems: engine, electrical system, pneumatic system, brake system, driving system, central heating and air-conditioning and doors. Reliability was analyzed based on Weibull model. It has been demonstrated, that during the operation significant reliability differences occur between the buses produced nowadays.

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.

Real-time reliability evaluation methodology based on dynamic Bayesian networks: A case study of a subsea pipe ram BOP system

2015 ◽  
Vol 58 ◽  
pp. 595-604 ◽  
Author(s):  
Baoping Cai ◽  
Yonghong Liu ◽  
Yunpeng Ma ◽  
Zengkai Liu ◽  
Yuming Zhou ◽  
...  
Keyword(s):  
Bayesian Networks ◽  
Real Time ◽  
Reliability Evaluation ◽  
Dynamic Bayesian Networks ◽  
Evaluation Methodology
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