吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (03): 706-710.

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Automotive pressure switch test system based on neural network

GAO Yin-han1,FAN Kuan-gang2,YANG Kai-yu1,WANG Zhao-hong3,WU Ding-chao4   

  1. 1.Center of Test Science,Jilin University,Changchun 130022,China；2.College of Instrumentation &|Electrical Engineering,Jilin University,Changchun 130061,China；3.Jilin Institute of Metrology,Changchun 130022,China；4.School of Communication Engineering,Jilin University,Changchun 130022,China
  • Received:2009-05-25 Online:2011-05-01 Published:2011-05-01

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Abstract:

A test system was developed to measure the pressure switch parameters based on the neural network. The system gathers data through a data acquisition card, processes the gathered data with the back propagation algorithm of the neural network to get the accurate and stable data. The VC++ software was used to realize the realtime display of the test system to feedback the switch state and the necessary pressure to turn on the switch can be aware of. Experiments showed that comparing to the original counterpart, the stability of test system is improved by 15%, the error is reduced to 80%. The system can measure the pressure to turn on the switch accurately, avoids the unnecessary high pressure in the switching process to prolong the lifespan of the switch.

Key words: instrumentation technology, test system, pressure switch, data acquisition, neural network

CLC Number: 

  • TH89
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