Quality Based Prioritized Sensor Fault Monitoring Methodology

• Published in: Chinese journal of chemical engineering Vol. 16; no. 4; pp. 584 - 589
• Main Author: 宋凯 王海清 李平 冯志刚
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2008
• Subjects: partial least squares; statistical quality monitoring; Tennessee Eastman process; 产品质量; 优先级传感器; 故障监控; 最小二次方; partial least squares; statistical quality monitoring; Tennessee Eastman process
• ISSN: 1004-9541; 2210-321X
• DOI: 10.1016/S1004-9541(08)60125-1

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 toensure 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 gpmin/gpmax 〈〈 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.