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《Transducer and Microsystem Technologies》 2009-05
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Research on determining effective working-state of sensor during wood drying process

ZHANG Jia-wei,GUO Run-long(School of Electromechanical Engineering,Northeast Forestry University,Harbin 150040,China)  
To determine the effective working state of sensors,a data fusion method based on D-S theory and CMAC neural networks is presented.D-S theory using the redundancy and complementary information of sensor can eliminate the uncertainty in detecting and diagnosis faults.The evidence of sensor state is obtained through a high modularity of the sensor state recognizer network with modularized CMAC,so the advantage of neural net is promoted and the bug of its unusable for change of input parameter is resolved.The simulation results show that the method can determine effective working-state of sensor during wood drying process.
【Fund】: 国家自然科学基金资助项目(30771678);; 黑龙江省青年专项基金资助项目(QC07C57)
【CateGory Index】: TP212
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