Automotive Airbag Folding Bag Machine Fault Diagnosis Based on Multi-sensor Information Fusion and SOM Neural Network

In order to reduce the production of bags carried off discontinued due to a fault caused by an airbag in a car. In this paper, the integration process of automotive airbag folded bags have prior knowledge to construct a multi-sensor fault diagnosis system, which mainly through training SOM self-organizing neural network to achieve; system of data collection equipment operation mainly depends on installed equipment obtained on various sensors; then through the clustering properties of the SOM neural network, the recording process of folding bags fault category in the database and then give the appropriate solution. After using the SOM neural network fault diagnosis system to improve production efficiency significantly. Meanwhile, the fault diagnosis system is universal among the same field.