New in Situ Sensor Modeling Approach to Measurement Validation

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• 作者：Deepak Srinivasagupta ; Babu Joseph ; and Robert E. Morley
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2003
• 出版时间：May 28, 2003
• 年：2003
• 卷：42
• 期：11
• 页码：2324 - 2333
• 全文大小：199K
• 年卷期：v.42,no.11(May 28, 2003)
• ISSN：1520-5045

文摘

Measurement error due to sensor degradation (fouling, miscalibration, etc.) is more difficult toidentify compared to catastrophic sensor failure. Passive methods previously proposed for sensor-level monitoring are based on power spectrum or multiscale analysis of sensor data. Thesemethods have limitations caused by not accounting for various noise sources and assumptionsabout sensor noise characteristics, thus resulting in false and missed alarms. In this paper, anonline sensor fault detection scheme based on the identification of sensor response characteristicsis proposed and evaluated. We develop both robust passive and active in situ techniques toidentify sensor response characteristics that relate directly to its health. Using the identifiedsensor model, various kinds of sensor faults are quantified and mapped into the modelparameters. A dynamic model-based estimator is proposed for data reconciliation. These ideaswere experimentally validated using thermocouples, flowmeters, and resistance thermometricdevices on laboratory-scale processes. The proposed approach was seen to accurately quantifythe sensor model parameters and aid in measurement reconstruction.