Nonlinear least-squares based method for identifying and quantifying single and mixed contaminants in air with an electronic nose

Sensors

Volumn 6, Issue 1, 2006, Pages

  Zhou, Hanying ^a   Homer, Margie L ^a   Shevade, Abhijit V ^a   Ryan, Margaret A ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Electronic nose; Nonlinear least squares; Sensor array data analysis

Indexed keywords

AIR QUALITY; BINARY MIXTURES; CARBON CARBON COMPOSITES; LEAST SQUARES APPROXIMATIONS; NASA; PRINCIPAL COMPONENT ANALYSIS; SPACE SHUTTLES;

AIR QUALITY MONITORING; ENCLOSED SPACES; JET PROPULSION LABORATORY; LEAST SQUARES-BASED METHODS; LEAST-SQUARE-BASED METHODS; NON-LINEAR LEAST SQUARES; PARTS PER MILLIONS; POLYMER/CARBON COMPOSITES; SENSOR ARRAY DATA ANALYSE; SENSORS ARRAY;

ELECTRONIC NOSE;

EID: 33645137609     PISSN: 14243210     EISSN: 14248220     Source Type: Journal    
DOI: 10.3390/s6010001     Document Type: Article

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