Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique

Seyedhosseini, Seyed Mohammad; Safaei, Nima; Asgharpour, M J

doi:10.1016/j.ress.2005.09.005

Cited by 335 publications

(145 citation statements)

References 3 publications

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“…There are two calculation methods of normalized direct-relation matrix, such as: Wu and Lee [29], Lin and Wu [17], Kim [12], and Seyed-Hosseini et al [24] all used the biggest sum of column vector as the normalized base; and Tzeng et al [28] also used the biggest sum of column vector as the normalized base.…”

Section: Calculate Normalized Direct-relation Matrixmentioning

confidence: 99%

Integration of Importance - Performance Analysis and Fuzzy Dematel

Chen¹,

Wu²,

Li³

et al. 2018

IJCSIT

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Section: Calculate Normalized Direct-relation Matrixmentioning

confidence: 99%

Integration of Importance - Performance Analysis and Fuzzy Dematel

Chen¹,

Wu²,

Li³

et al. 2018

IJCSIT

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“…Since UML does not specify how to simulate the architecture models, Telelogic Rhapsody [21] is used to gain execution data via simulation. The model is executed in tracing mode.…”

Section: ) Execution Time During Simulationmentioning

confidence: 99%

A Model-Based Soft Errors Risks Minimization Approach

Myers

Sanchez

Jürjens

2009

2009 Fourth International Conference on Embedded and Multimedia Computing

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Abstract-Minimizing the risk of system failure in any computer structure requires identifying those components whose failure is likely to impact on system functionality. Clearly, the degree of protection or prevention required against faults is not the same for all components. Tolerating soft errors can be much improved if critical components can be identified at an early design phase and measures are taken to lower their criticalities at that stage. This improvement is achieved by presenting a criticality ranking (among the components) formed by combining a prediction of faults, consequences of them, and a propagation of errors at the system modeling phase; and pointing out ways to apply changes in the model to minimize the risk of degradation of desired functionalities. Case study results are given to validate the approach.

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“…The recursive procedure verifies the feasibility of the current assignment. Figure 3) and ⊕ represents the Boolean summation operator (Seyed-Hosseini et al, 2006). Matrix S www.intechopen.com consists of all direct and indirect precedence relations between FGs to do a given work.…”

Section: Initial Solution Generationmentioning

confidence: 99%