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Erschienen in:
2011 | OriginalPaper | Buchkapitel
An Intelligent Model for Self-compensation and Self-validation of Sensor Measurements
verfasst von : Javier E. Reyes Sanchez, Marley M. B. R. Vellasco, Ricardo Tanscheit
Erschienen in: Fuzzy Logic and Applications
Verlag: Springer Berlin Heidelberg
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This article presents a hybrid system for self-compensation and self-validation of intelligent industrial instruments that combines a Neuro-Fuzzy model, based on the ANFIS architecture, capable of compensating errors caused by non-calibrated instruments, and a validation model based on Fuzzy Logic that provides the level of confidence of measurements. The proposed system indicates to the specialist when a new calibration must be performed. The hybrid system is tested with a differential pressure instrument, used in mining for level and pressure controls.