An adaptive method for industrial hydrocarbon flame detection

Neural Networks

Volumn 21, Issue 2-3, 2008, Pages 398-405

  Huseynov, Javid J ^a,b   Baliga, Shankar B ^b   Widmer, Alan ^b   Boger, Zvi ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b General Monitors   (United States)

^c Industrial Neural Systems Ltd   (Israel)

Author keywords

Artificial neural networks; Flame detection; Signal processing

Indexed keywords

DATA ACQUISITION; FEATURE EXTRACTION; GAIN CONTROL; HYDROCARBON REFINING; NEURAL NETWORKS;

CONJUGATE-GRADIENT (CG) METHOD; FLAME DETECTION SYSTEM; JOINT TIME-FREQUENCY ANALYSIS (JTFA); SIGNAL SATURATION;

FLAME RESEARCH;

HYDROCARBON; INDUSTRIAL CHEMICAL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER; FILTRATION; FIRE; INFRARED RADIATION; MODEL; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; SPECTRAL SENSITIVITY;

ALGORITHMS; HUMANS; HYDROCARBONS; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 40649126542     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2007.12.018     Document Type: Article

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