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Sensor data validation using gray models
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DOI：10.1016/S0019-0578(07)60109-8.png)
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Abstract
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A new method based on the gray model is described for the online validation of measurements. A gray model is a differential equation describing the behavior of an accumulate generating operations (AGO) data sequence. First-order gray models are fitted to measuring data records using the recursive orthogonal least-squares algorithm. Predictions derived from the fitted gray model are then compared with the actual measurements to generate a prediction error sequence. The quality of the measured value is determined by the prediction errors and variance of the prediction error sequence. Experimental results for detecting the-quality of measurements from a thermistor are presented. (C) 2003 ISA-The Instrumentation, Systems, and Automation Society.
Keywords:
gray model
data validation
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