Paper Title:
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.

  Info
Periodical
Chapter
Chapter 4: Fault Diagnose and Electronmechanical Control
Edited by
Zhixiang Hou
Pages
1101-1104
DOI
10.4028/www.scientific.net/AMM.128-129.1101
Citation
D. J. Zhang, N. N. Zhang, K. W. Liu, "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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$32.00
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