An evidential network-based method for common-cause failure analysis under uncertainty

2018 ◽  
pp. 2365-2372
Author(s):  
S. Qiu ◽  
Henry X.G. Ming ◽  
Y. Hou
Keyword(s):  
Failure Analysis ◽  
Common Cause ◽  
Common Cause Failure ◽  
Evidential Network

Evidential network-based failure analysis for systems suffering common cause failure and model parameter uncertainty

2018 ◽  
Vol 233 (6) ◽  
pp. 2225-2235 ◽  
Author(s):  
Lin Zuo ◽  
Tangfan Xiahou ◽  
Yu Liu
Keyword(s):  
Failure Analysis ◽  
Network Model ◽  
Parameter Uncertainty ◽  
Epistemic Uncertainty ◽  
Fault Tree ◽  
Common Cause ◽  
Common Cause Failure ◽  
Engineered Systems ◽  
Model Parameter Uncertainty ◽  
Evidential Network

The fault tree analysis has been extensively implemented in failure analysis of engineered systems. In most cases, the probabilities of basic events, e.g. components’ failures, are represented by crisp values in the fault tree analyses. However, due to lack of knowledge, scarcity of failure data, or vague judgments from experts, it may produce parameter uncertainty associated with degradation models of components/systems, and such model parameter uncertainty can be quantified by the epistemic uncertainty. In addition, the common cause failure, related to the simultaneous failures of two or more components caused by physical interactions or shared environments, often exists in advanced engineered systems and computing systems. In this paper, by considering both the common cause failure and the epistemic uncertainty associated with model parameters, an evidential network model embedded with common cause failure is proposed to facilitate system failure analysis. The detailed transformations from some logic gates of a fault tree to an evidential network model are given. Moreover, the conditional belief mass tables are constructed to quantify the dependency between the states of components and the entire system. An engineering case of an aero-engine oil system, together with comparative results, is presented to demonstrate the effectiveness of the proposed evidential network model.

A pragmatic approach to estimate alpha factors for common cause failure analysis

2014 ◽  
Vol 63 ◽  
pp. 317-325 ◽  
Author(s):  
Varun Hassija ◽  
C. Senthil Kumar ◽  
K. Velusamy
Keyword(s):  
Failure Analysis ◽  
Pragmatic Approach ◽  
Common Cause ◽  
Common Cause Failure
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