The Fault Diagnosis of Automotive Airbag Assembly Process Based on Self-Organizing Feature Mapping Network SOM

Abstract:

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Automotive airbag assembly process is complex and nonlinear, and one of its characteristics is that the accuracy of making the threshold comparison for fault diagnosis using field multi-sensor measured value is not high,. In this article, adopt self-organizing feature mapping network SOM to realize the fault diagnosis of automotive airbag assembly process, constitute the field function of SOM through wavelet functions, form sub-excitatory neuron to update weights, avoid SOM local optimum, so improve the accuracy of fault diagnosis of automotive airbag assembly process.

Info:

Periodical:

Edited by:

Zhixiang Hou

Pages:

1101-1104

DOI:

10.4028/www.scientific.net/AMM.128-129.1101

Citation:

D. J. Zhang et al., "The Fault Diagnosis of Automotive Airbag Assembly Process Based on Self-Organizing Feature Mapping Network SOM", Applied Mechanics and Materials, Vols. 128-129, pp. 1101-1104, 2012

Online since:

October 2011

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Price:

$35.00

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