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《Journal of Zhejiang University(Engineering Science)》 2012-01
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Optimization of sensor allocation based on fault-measurement point mutual information

YU Bao-hua1,2,YANG Shi-xi1,ZHOU Xiao-feng1(1.Department of Mechanical Engineering,Zhejiang University,Hangzhou 310027,China; 2.School of Mechanical Engineering,Hangzhou Dianzi University,Hangzhou 310018,China)  
A matrix of fault-measurement point mutual information was proposed which can quantitatively reflect the efficiency of the fault diagnose information obtained by the measurement point in order to find the optimized allocation of sensors for large process industries to meet the fault diagnose requirement.An optimized target function based on the correlation of measurement point to fault on the sensor system was created.A multi-objective optimized allocation model was conducted which can consider the following three things: the efficiency of the fault diagnosis information obtained by the measurement point,the reliability of sensor systems and the cost factor.A promoted non-dominated sorted genetic algorithm-II(NSGA-II) was designed,which can gain Pareto front solutions including three above-mentioned optimized-targets under the premise of assuring the detectability and separability of fault.The case of power plant deaerator shows that the method is feasible and effective.
【Fund】: 国家“863”高技术研究发展计划资助项目(2008AA04Z410);; 国家自然科学基金资助项目(50675194);; 浙江省自然科学基金资助项目(Y1080843)
【CateGory Index】: TP212;TP18
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