Fault Diagnosis Technology of Equipment System

Hao  Hu; Ying Min  Yan

doi:10.4028/www.scientific.net/AMM.380-384.1003

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Fault Diagnosis Technology of Equipment System

Fault Diagnosis Technology of Equipment System

Abstract:

With the development of computer technology, the development of artificial intelligence technology, diagnostic techniques to change rapidly in the intelligent stage of development, this paper will mainly based on artificial intelligent fault diagnosis methods are described, mainly the application of BP network in fault diagnosis. And application principle to design a user-friendly display system. Make diagnosis data clearly show on the panel, and at the same time show the fault type and other necessary data. Then the bus data tracking, were analyzed. The system for a new system has complex lines, the number of components and types of features, can quickly identify the fault location, allowing the system to normal operation.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1003-1008

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1003

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Online since:

August 2013

Authors:

Hao Hu, Ying Min Yan

Keywords:

BP Neural Network (BPNN), Fault Diagnosis, J1939, System

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