A Fault-Tree Based Intelligent Fault Diagnostic System of Heavy CNC Equipments

Ming Chen; Ying Lei Li; Ying Yu

doi:10.4028/www.scientific.net/AMR.291-294.2829

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 291-294A Fault-Tree Based Intelligent Fault Diagnostic...

A Fault-Tree Based Intelligent Fault Diagnostic System of Heavy CNC Equipments

Abstract:

Three main technical problems on heavy equipments fault diagnosis are all solved in the following three aspects. Firstly, build fault trees with the help of reachability matrix. This fault tree building method is helpful to short the labor and time for building fault tree; secondly, design a rule-based reasoning algorithm on the fault tree to avoid the shortcomings of traditional minimal cut sets (MCS) solution; thirdly, design out a new knowledge database structure for fault trees and rules storage. This structure could meet the need of the algorithm; so that the algorithm could be run well with this knowledge database .At the end demonstrate advantages of the fault tree based diagnostic intelligent system with an example.

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Materials Processing Technology, AEMT2011

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Periodical:

Advanced Materials Research (Volumes 291-294)

Pages:

2829-2833

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.291-294.2829

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Online since:

July 2011

Authors:

Ming Chen, Ying Lei Li, Ying Yu

Keywords:

Fault Diagnosis, Fault Tree, RBR, Reachability Matrix

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References

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