Fault diagnosis based on graphical tools for multi-energy processes

Smaili, Rahma; Harabi, Rafika El; Abdelkrim, Mohamed Naceur

doi:10.3182/20140824-6-za-1003.00851

Cited by 2 publications

(1 citation statement)

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“…Failure propagation analysis model based on graph theory is divided into two types, namely, tree and graph, combining multiple reasoning methods to analyse failure propagation mechanism. [22][23][24][25] This method is mainly used for complex systems with clear logic and clear failure mechanism. However, when the system scale is huge and the relationship among the factors in the system is markedly complicated, the establishment of the corresponding model is challenging and cumbersome.…”

Section: Analysis Of Failure Propagation Based On Graph Theorymentioning

confidence: 99%

Application of hypergraph theory in the analysis of the failure propagation and diffusion behaviour of machining centre

Zhang

Zhou

2021

Quality & Reliability Eng

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To improve the rationality of failure diagnosis, this research uses hypergraph theory as basis in proposing a method of analysing failure propagation behaviour to study the failure propagation mechanism from the system perspective. A hierarchical structure model is constructed by failure correlation analysis, matrix transformation and decomposition. The probability of failure is determined by considering the influence of multiple truncation data. On this basis, hypergraph theory is used to calculate the one-step and cumulative coefficient of failure propagation and diffusion. The influence degree of failure is calculated by integrating the edge betweenness. Using the influence degree of failure as an indicator, failure propagation and diffusion behaviour are analysed, and critical failure nodes and paths are identified. Lastly, a machining centre is used as an example for specific application. The results are compared with the ranking results of critical failure propagation paths determined by other methods, and the effectiveness of the proposed method is verified.

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Section: Analysis Of Failure Propagation Based On Graph Theorymentioning

confidence: 99%