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《中国化学工程学报(英文版)》 2008-04
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Quality Based Prioritized Sensor Fault Monitoring Methodology

SONG Kai 1,WANG Haiqing 2,LI Ping2 and FENG Zhigang31School of Chemical Engineering and Technology,Tianjin University,Tianjin 300072, China2Institute of Industrial Process Control,Zhejiang University,Hangzhou 310027,China3Hebei Zhongrun Pharmaceutical Co.,Ltd., Shijiazhuang 050041,China  
To improve the detection and identification performance of the Statistical Quality Monitoring (SQM) system, a novel quality based Prioritized Sensor-Fault Detection (PSFD) methodology is proposed. Weighted by the Vp (variable importance in projection) index, which indicates the importance of the sensor variables to the quality variables, the new monitoring statistic, Qv, is developed to ensure that the most vital sensor faults be detected successfully. Subsequently, the ratio between the Detectable Minimum Faulty Magnitude (DMFM) of the most important sensor and of the least important sensor is only Vpmin/Vpmax 1. The Structured Residuals are designed according to the Vp index to identify and then isolate them. The theoretical findings are fully supported by simulation studies performed on the Tennessee Eastman process.
【Fund】: the National Natural Science Foundation of China(20776128);; the Natural Science Foundation of Zhejiang Province(Y107032)
【CateGory Index】: TP212.9
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