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

De Jiang Zhang; Niao Na Zhang; Ke Wei Liu

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 128-129The Fault Diagnosis of Automotive Airbag Assembly...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 128-129)

Pages:

1101-1104

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.128-129.1101

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Cite this paper

Online since:

October 2011

Authors:

De Jiang Zhang, Niao Na Zhang, Ke Wei Liu

Keywords:

Airbag, Fault Diagnosis, Self-Organizing Feature Mapping Network, Wavelet

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