Reliability Evaluation and Failure Behavior Modeling of IMS Considering Functional and Physical Isolation Effects

2019 ◽  
Vol 24 (6) ◽  
pp. 2441-2452
Author(s):  
Ying Chen ◽  
Ze Wang ◽  
Qichao Ma ◽  
Kun Liang
Keyword(s):  
Reliability Evaluation ◽  
Behavior Modeling ◽  
Failure Behavior ◽  
Physical Isolation ◽  
Isolation Effects

Failure behavior of multi-state system considering functional and physical isolation effects

2021 ◽  
pp. 1748006X2110418
Author(s):  
Ying Chen ◽  
Ze Wang ◽  
Yanfang Wang ◽  
Rui Kang
Keyword(s):  
Transition Probabilities ◽  
Functional Dependence ◽  
Great Difficulty ◽  
Complex Stress ◽  
State System ◽  
Stress Conditions ◽  
State Transitions ◽  
Failure Behavior ◽  
Physical Isolation ◽  
Isolation Effects

The multi-state system (MSS) is a system that may exhibit multiple states or performance levels. Most existing studies assumed that the transition probabilities from states to states are known. However, in practical engineering, the complex stress conditions lead to great difficulty of collecting the statistical data of state transitions. In this paper, based on physics-of-failure theory, we consider different levels of damages caused by failure mechanisms (FMs) are the main reasons to components’ multiple states. Besides, the physical isolation (PI) effect on degradations of FMs is also studied, which is neglected in the existing studies about the MSS with functional dependence groups. Decision-diagram based methods are used for modeling the failure behavior of the MSS. An automatic collision avoidance system is analyzed for illustrating the proposed modeling and analyzing methods. The results show that comparing to the results without the consideration of PI effect, the probabilities of different states with PI effect of multi-state components and system may decrease or increase, which depends on the actual PI effects to the stress conditions.

scholarly journals Plasticity and failure behavior modeling of high-strength steels under various strain rates and temperatures: microstructure to components

2018 ◽  
Vol 13 ◽  
pp. 1421-1426 ◽  
Author(s):  
Junhe Lian ◽  
Wenqi Liu ◽  
Ioanna Papadioti ◽  
Ilias Bellas ◽  
Sarath Chandran ◽  
...  
Keyword(s):  
High Strength Steels ◽  
High Strength ◽  
Behavior Modeling ◽  
Failure Behavior ◽  
Strain Rates

scholarly journals Data-Driven System Reliability and Failure Behavior Modeling Using FMECA

2016 ◽  
Vol 12 (3) ◽  
pp. 1253-1260 ◽  
Author(s):  
Hadi Akbarzade Khorshidi ◽  
Indra Gunawan ◽  
M. Yousef Ibrahim
Keyword(s):  
System Reliability ◽  
Behavior Modeling ◽  
Data Driven ◽  
Failure Behavior ◽  
Driven System

scholarly journals Failure behavior modeling of slender reinforced concrete columns subjected to eccentric load

2015 ◽  
Vol 12 (3) ◽  
pp. 520-541 ◽  
Author(s):  
E.A. Rodrigues ◽  
O.L. Manzoli ◽  
L.A.G. Bitencourt Jr. ◽  
P.G.C. dos Prazeres ◽  
T.N. Bittencourt
Keyword(s):  
Reinforced Concrete ◽  
Concrete Columns ◽  
Behavior Modeling ◽  
Failure Behavior ◽  
Eccentric Load ◽  
Reinforced Concrete Columns

Competing failure analysis in non-repairable binary systems subject to functional dependence

2012 ◽  
Vol 226 (4) ◽  
pp. 406-416 ◽  
Author(s):  
Liudong Xing ◽  
Chaonan Wang ◽  
Gregory Levitin
Keyword(s):  
Reliability Analysis ◽  
Binary Systems ◽  
Functional Dependence ◽  
Failure Behavior ◽  
Binary State ◽  
Dependent Component ◽  
Failure Propagation ◽  
Isolation Effects ◽  
The Time Domain ◽  
Component Failures

This paper considers competing failure propagation and isolation effects in the reliability analysis of systems with functional dependence, where the failure of some trigger component causes other components (referred to as dependent components) to become inaccessible or isolated from the system. A propagated failure originating from a dependent component could affect other parts of the system and thus cause the entire system to fail. However, if the trigger component fails first, the propagation of the dependent component failure can be prevented and thus it cannot affect the function of the rest of the system. In other words, propagated failures originating from dependent components in systems with functional dependence can have different consequences due to their competition with the failure of the trigger component in the time domain. This paper suggests a combinatorial method to address such competing failure behavior in the reliability analysis of non-repairable binary-state systems. Different from the work reported in the literature that assumes local and propagated failures of a component being mutually exclusive, the proposed method is applicable to independent and dependent local and propagated component failures. The system reliability analysis results for all the three cases (mutually exclusive, independent and dependent) are compared through a case study. The proposed method is verified through comparison with Markov-based methods.

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