Theory of fuzzy integrals and its applications

Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review

The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions

Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method

Failure Modes and Effects Analysis (FMEA) is a very useful reliability-management instrument for detecting and mitigating risks in various fields. The linguistic assessment approach has recently be...

/pdf/personalized-individual-semantics-based-approach-for-2opkjphs37.pdf

Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information

A risk evaluation and prioritization method for FMEA with prospect theory and Choquet integral


 In order to deal with the problems of insufficient or excessive maintenance in current maintenance activities of China transit train, this paper develops a novel multi-component system maintenance optimization approach based on an opportunistic correlation model. Based on the minimal reliability and failure rate change rule of each train component, the novel proposed maintenance optimization benefits from an improved opportunistic maintenance model with system structure correlation, fault correlation and reliability correlation under imperfect maintenance. Then, different maintenance modes can be determined by a proposed maintenance factor under the different condition of components. Specifically, the reliability threshold of each component is also considered to optimize the maintenance cost by the system reliability and operational availability of the train. Furthermore, as the mentioned problem belongs to the NP-Hard optimization problems, a modified PSO with the improvement of inertia weight is proposed to cope with the optimization problem. Based on a specific case under the practical recorded failure data, the analysis shows that the proposed model and approach can effectively cut the maintenance cost.

/pdf/multi-component-system-maintenance-optimization-of-rail-m8qylt14.pdf

Multi-component system maintenance optimization of rail transit train based on opportunistic correlations


 Bogie is a pivotal system and plays a critical part in the safety and reliability management of high speed rail. However, the available bogie system reliability analysis methods lack the consideration of multi-state characteristics, and the common multi-state reliability analysis methods, being an NP-hard problem, lead to a low efficiency. In order to overcome the mentioned drawbacks, this paper proposes a novel multi-state rail train bogie system reliability analysis approach based on the extended d-MC model. Three different function interactions within the bogie system are considered to build the multi-state bogie system flow network model. Meanwhile, an extended d-MC model is established to remove unnecessary d-MC candidates and duplicates, which greatly enhances the computing efficiency. The bogie system reliability is calculated, and the examples are provided. Numerical experiments are carried out for the different operational conditions of the bogie system and are used to testify the practicability of the method projected in this article, and is is found that the proposed method outperforms a newly developed method in solving the multi-state reliability problems.

A Novel Multi-state Bogie System Reliability Evaluation Approach by Extended d-MC Model for High Speed Train

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Papers

A risk evaluation and prioritization method for FMEA with prospect theory and Choquet integral

Multi-component system maintenance optimization of rail transit train based on opportunistic correlations

A Novel Multi-state Bogie System Reliability Evaluation Approach by Extended d-MC Model for High Speed Train