Quality Based Prioritized Sensor Fault Monitoring Methodology

宋凯; 王海清; 李平; 冯志刚

doi:10.1016/S1004-9541(08)60125-1

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Quality Based Prioritized Sensor Fault Monitoring Methodology

Updated：2026-01-06

- Quality Based Prioritized Sensor Fault Monitoring Methodology
- Quality Based Prioritized Sensor Fault Monitoring Methodology
- 中国化学工程学报（英文版） 2008年16卷第4期页码：584-589
- Affiliations：
  
  1. School of Chemical Engineering and Technology, Tianjin University,Tianjin,China,300072
  2. Institute of Industrial Process Control, Zhejiang University,Hangzhou,China,310027
  3. Hebei Zhongrun Pharmaceutical Co., Ltd.,Shijiazhuang,China,050041
- Author bio：
- Funds：
  
  the National Natural Science Foundation of China(20776128);the Natural Science Foundation of Zhejiang Province(Y107032)
- DOI：10.1016/S1004-9541(08)60125-1
  中图分类号：
- 纸质出版：2008
- Accepted：
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宋凯, 王海清, 李平, 等. Quality Based Prioritized Sensor Fault Monitoring Methodology[J]. 中国化学工程学报（英文版）, 2008,16(4):584-589.

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, 等. Quality Based Prioritized Sensor Fault Monitoring Methodology[J]. 中国化学工程学报（英文版）, 2008,16(4):584-589. DOI： 10.1016/S1004-9541(08)60125-1.

SONG Kai, WANG Haiqing, LI Ping, FENG Zhigang. Quality Based Prioritized Sensor Fault Monitoring Methodology[J]. , 2008, 16(4): 584-589. DOI： 10.1016/S1004-9541(08)60125-1.

摘要

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

(variable importance in projection) index

which indicates the importance of the sensor variables to the quality variables

the new monitoring statistic

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

pmin

pmax

1. The Structured Residuals are designed according to the

index to identify and then isolate them. The theoretical findings are fully supported by simulation studies performed on the Tennessee Eastman process.

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