Metal Oxide Gas Sensor Drift Compensation Using a Dynamic Classifier Ensemble Based on Fitting

Sensor drift is currently the most challenging problem in gas sensing. We propose a novel ensemble method with dynamic weights based on fitting (DWF) to solve the gas discrimination problem, regardless of the gas concentration, with high accuracy over extended periods of time. The DWF method uses a...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 13; H. 7; S. 9160 - 9173
Hauptverfasser:	Liu, Hang, Tang, Zhenan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 17.07.2013
Schlagworte:	Algorithms Artificial Intelligence Data Interpretation, Statistical Datasets dynamic weights ensemble method Equipment Design Equipment Failure Analysis Fuzzy sets Gases - analysis metal oxide sensors Metal oxides Metals - analysis Methods Neural networks Olfactometry - instrumentation Oxides - analysis Pattern recognition systems sensor drift Sensors Signal processing Support vector machines Transducers
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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