The Fault Diagnosis of Automotive Airbag Assembly Process based on Self-organizing Feature Mapping Network SOM

摘要：

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 multisensor 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.

关键词： Keyword: wavelet fault diagnosis airbag self-organizing feature mapping network

作者: Zhang dejiang Zhang niaona Liu kewei

作者单位: Changchun University of Technology, Changchun 130012

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 1101-1104

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）