Gas mixture quantification based on Hilbert-Huang transform and neural network by a single sensor

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 25, Issue 6, 2011, Pages 927-942

  Wei, Guangfen ^a   An, Wen ^a   Zhu, Zhilin ^a  

^a SHANDONG INSTITUTE OF BUSINESS AND TECHNOLOGY   (China)

Author keywords

gas mixture analysis; Gas sensor; Hilbert Huang Transform; neural network; temperature modulation

Indexed keywords

ANALYTES; DYNAMIC SIGNALS; EMPIRICAL MODE DECOMPOSITION METHOD; GAS SENSING; GAS SENSOR; GLOBAL FEATURE; HILBERT HUANG TRANSFORMS; INTRINSIC MODES; METAL OXIDE GAS SENSORS; MICRO-GAS SENSORS; OPERATING TEMPERATURE; PATTERN RECOGNITION METHOD; PROCESSING APPROACH; SENSOR RESPONSE; SENSOR SYSTEMS; SINGLE SENSOR; TEMPERATURE MODULATION; THREE GAS;

CARBON MONOXIDE; CHEMICAL SENSORS; ETHANOL; FEATURE EXTRACTION; GAS DETECTORS; GAS MIXTURES; GAS SENSING ELECTRODES; MATHEMATICAL TRANSFORMATIONS; METALLIC COMPOUNDS; METHANE; MIXTURES; MODULATION; NEURAL NETWORKS;

GASES;

EID: 80053210370     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001411008932     Document Type: Article

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