Use of artificial neural network models to predict coated component life from short-term electrochemical impedance spectroscopy measurements

Corrosion

Volumn 64, Issue 3, 2008, Pages 241-254

  Kumar, G ^a   Buchheit, R G ^a  

^a Ohio State University   (United States)

Author keywords

Aluminum alloys; Artificial neural networks; Conversion coatings; Corrosion prediction; Electrochemical impedance spectroscopy

Indexed keywords

ALUMINUM ALLOYS; ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY; FORECASTING; NEURAL NETWORKS; PROTECTIVE COATINGS; SODIUM CHLORIDE;

CONVERSION COATING; CORROSION PREDICTION;

CORROSION;

ALUMINUM ALLOYS; CORROSION; ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY; FORECASTING; NEURAL NETWORKS; PROTECTIVE COATINGS; SODIUM CHLORIDE;

EID: 40949101387     PISSN: 00109312     EISSN: None     Source Type: Journal    
DOI: 10.5006/1.3278469     Document Type: Conference Paper

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