Quality Based Prioritized Sensor Fault Monitoring Methodology

›› 2008, Vol. 16 ›› Issue (4): 584-589.

• SYSTEM ENGINEERING • Previous Articles Next Articles

Quality Based Prioritized Sensor Fault Monitoring Methodology

SONG Kai¹, WANG Haiqing², LI Ping², FENG Zhigang³

1. School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China;
2. Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China;
3. Hebei Zhongrun Pharmaceutical Co., Ltd., Shijiazhuang 050041, China

Received:2007-07-28 Revised:2008-03-25 Online:2008-08-28 Published:2008-08-28
Supported by:
the National Natural Science Foundation of China(20776128);the Natural Science Foundation of Zhejiang Province(Y107032)

Quality Based Prioritized Sensor Fault Monitoring Methodology

宋凯¹, 王海清², 李平², 冯志刚³

1. School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China;
2. Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China;
3. Hebei Zhongrun Pharmaceutical Co., Ltd., Shijiazhuang 050041, China

通讯作者: WANG Haiqing, E-mail: hqwang@iipc.zju.edu.cn
基金资助:
the National Natural Science Foundation of China(20776128);the Natural Science Foundation of Zhejiang Province(Y107032)

Abstract

Abstract: 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 V_p (variable importance in projection) index, which indicates the importance of the sensor variables to the quality variables, the new monitoring statistic, Q_v, 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 V_pmin/V_pmax<<1. The Structured Residuals are designed according to the V_p index to identify and then isolate them. The theoretical findings are fully supported by simulation studies performed on the Tennessee Eastman process.

Key words: partial least squares, statistical quality monitoring, Tennessee Eastman process

摘要： 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 V_p (variable importance in projection) index, which indicates the importance of the sensor variables to the quality variables, the new monitoring statistic, Q_v, 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 V_pmin/V_pmax<<1. The Structured Residuals are designed according to the V_p index to identify and then isolate them. The theoretical findings are fully supported by simulation studies performed on the Tennessee Eastman process.

关键词: partial least squares, statistical quality monitoring, Tennessee Eastman process

SONG Kai, WANG Haiqing, LI Ping, FENG Zhigang. Quality Based Prioritized Sensor Fault Monitoring Methodology[J]. , 2008, 16(4): 584-589.

宋凯, 王海清, 李平, 冯志刚. Quality Based Prioritized Sensor Fault Monitoring Methodology[J]. , 2008, 16(4): 584-589.

References

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Quality Based Prioritized Sensor Fault Monitoring Methodology

Quality Based Prioritized Sensor Fault Monitoring Methodology

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