The Application of BP Neural Network to Comprehensive Assessment in Equipment Maintainance Support

Jia Ju Wu; Bing Ning Cao; Zheng Jing Wan; Ji Lan Zhang

doi:10.4028/www.scientific.net/AMM.190-191.191

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 190-191The Application of BP Neural Network to...

The Application of BP Neural Network to Comprehensive Assessment in Equipment Maintainance Support

Abstract:

Equipment maintainability support is the most important influencing factor which affects weapon battle ability. Equipment maintainability support capability assessment result can be used as steering for equipment maintenance blue print configuration. Based on analysis of equipment maintenance support, maintenance scenario establish process is discussed in paper. Then neural network-based equipment maintainability support assessment model is established. BP dynamic neural network is applied in constructing model and the amelioration weight reset arithmetic is imported in equipment maintainability support assessment model. Finally, the steps of equipment maintenance support assessment are described. According to assessment arithmetic, equipment maintenance center computes assessment result. Equipment development department and army can optimize maintainability support scheme based on assessment result and maintain equipment.

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Periodical:

Applied Mechanics and Materials (Volumes 190-191)

Pages:

191-194

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.190-191.191

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Online since:

July 2012

Authors:

Jia Ju Wu, Bing Ning Cao, Zheng Jing Wan, Ji Lan Zhang

Keywords:

BP Neural Network (BPNN), Comprehensive Assessment Guide Line, Maintenance Support, Support Capability Assessment

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