Study on Automatic Diagnosis of Remote Support for Equipment Fault

Xu De Cheng; Lei Lei; Jian Hu Zhang; Shi Chun Chen; Wei Peng

doi:10.4028/www.scientific.net/AMM.496-500.2346

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 496-500Study on Automatic Diagnosis of Remote Support for...

Study on Automatic Diagnosis of Remote Support for Equipment Fault

Abstract:

Repair and technical support ability of equipment are important factor restricting the persistent state of combat power. Along with the increase of service life of a certain type ordnance equipment, equipment performance become degradation, reliability decreases, failure rate increase.The purpose of this paper is to study the mechanism of failure, find out the fault rule, expert's experience with fault tree reasoning and neural network fault diagnosis technology being applied to the fault diagnosis, aiming to solve the difficult fault, shorten the repair time, improve the ability of technical support.

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Periodical:

Applied Mechanics and Materials (Volumes 496-500)

Pages:

2346-2349

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.496-500.2346

Citation:

Cite this paper

Online since:

January 2014

Authors:

Xu De Cheng*, Lei Lei, Jian Hu Zhang, Shi Chun Chen, Wei Peng

Keywords:

Fault Diagnosis, Fault Tree Reasoning, Neural Network (NN)

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* - Corresponding Author

References

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