Fault-Diagnosis of Machine Assembly Based on Fuzzy ES

Jie Chen; Ke Ren Zhang; Wei Guo Zhu

doi:10.4028/www.scientific.net/AMR.490-495.343

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Fault-Diagnosis of Machine Assembly Based on Fuzzy...

Fault-Diagnosis of Machine Assembly Based on Fuzzy ES

Abstract:

Based on the working flow of an automated machine assembly line, a fuzzy expert system (FES) for fault diagnosis of the assembly line is developed, which contains user interface, knowledge base, inference engine and history database. The FES adopts fuzzy forward chaining rule-based reference strategy and can predict the severity ponderance of faults according to certainty factor. In addition, fuzzy logic and linguistic terms are also introduced.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

343-347

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.343

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Online since:

March 2012

Authors:

Jie Chen, Ke Ren Zhang, Wei Guo Zhu

Keywords:

Fault Diagnosis, Fuzzy ES, Machine Assembly

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References

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