Knowledge-Based Fault Diagnostic System Using Binary Fault Tree

Huan Liang Li; Xiao Qiang Yang; Jin Xing Shen; Liu Hai Chen

doi:10.4028/www.scientific.net/AMM.333-335.1752

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Knowledge-Based Fault Diagnostic System Using...

Knowledge-Based Fault Diagnostic System Using Binary Fault Tree

Abstract:

For the improvement of reliability, safety and efficiency advanced methods of fault diagnosis, new technology and method such as expert system become increasingly important for many kinds of fault diagnosis. Thereby, the classification principle of system structure is used to build the hierarchical analysis model of combustion engine. The model is converted to binary fault tree by means of Fault Tree Analytical Method (FTA). Meanwhile, the knowledge base is constructed with production rule and frame representation. Fault diagnosis system is designed on the thought of analytical hierarchy process. Its development is accomplished by Delphi 7.0 language. The work has offered a simple and practical tool to users and brings great convenience to engineering corps.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

1752-1757

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.1752

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Online since:

July 2013

Authors:

Huan Liang Li, Xiao Qiang Yang, Jin Xing Shen, Liu Hai Chen

Keywords:

Binary Fault Tree, Expert System, Fault Diagnosis, Hierarchical Analysis Model

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References

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