Research on Fault Diagnosis Simulation Training Method Based on Fault Tree with Following Scenes

Jin Li; Xiao Wei Guan; Shi Bo Guo; Jian Hui Hou; Min Bai

doi:10.4028/www.scientific.net/AMM.444-445.1799

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 444-445Research on Fault Diagnosis Simulation Training...

Research on Fault Diagnosis Simulation Training Method Based on Fault Tree with Following Scenes

Abstract:

For resolving the obscurity and complexity problem of equipment fault diagnosis training, gave out a fault diagnosis simulation training method. Based on the fault tree theory, the method can create the training simulative scenes, by building up the mapping between the fault tree node and the simulative scenes node. With the training subject and complexity requirement, this method can control the randomness and complexity of the training sample, the simulative scenes also can improve the training effect. And the fuzzy reasoning result assessment method can give out the proper training mark.

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Periodical:

Applied Mechanics and Materials (Volumes 444-445)

Pages:

1799-1803

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.444-445.1799

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Online since:

October 2013

Authors:

Jin Li, Xiao Wei Guan, Shi Bo Guo, Jian Hui Hou, Min Bai

Keywords:

Fault Diagnosis, Fault Tree, Following Scenes, Fuzzy Reasoning, Simulation Training

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