The Fault Diagnosis Method of Mixed-Model Assembly Line Based on Dynamic Causality Bayesian Network

Jie Cheng

doi:10.4028/www.scientific.net/AMM.310.592

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 310The Fault Diagnosis Method of Mixed-Model Assembly...

The Fault Diagnosis Method of Mixed-Model Assembly Line Based on Dynamic Causality Bayesian Network

Abstract:

For timely diagnosing the faults of mixed-model assembly line, and highly eliminating abnormal the production line, the time causality relation in the faults of mixed-model assembly line was Fuzzy discretized by the introduction of fuzzy set theory, and the fault diagnosis method of mixed-model assembly line based on dynamic causality bayesian network was established in this paper. Finally, a fault diagnosis simulation system of mixed-model assembly line based on dynamic causality bayesian network was demonstrated and validated by QUEST software. It has shown the proposed method can improve the benefit of production scheduling, and provide a support for adapting to complex and dynamic production scheduling in mixed-model flow production.

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Periodical:

Applied Mechanics and Materials (Volume 310)

Pages:

592-595

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.310.592

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Online since:

February 2013

Authors:

Jie Cheng

Keywords:

Dynamic Causality Bayesian Network, Fault Diagnosis, Mixed-Model Assembly Line

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