On-line novelty detection by recursive dynamic principal component analysis and gas sensor arrays under drift conditions

IEEE Sensors Journal

Volumn 6, Issue 3, 2006, Pages 770-782

  Perera, Alexandre ^a   Papamichail, Niko ^b   Bârsan, Nicolae ^b   Weimar, Udo ^b   Marco, Santiago ^a  

^a UNIVERSITY OF BARCELONA   (Spain)

^b UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

Change point detection; Chemical sensors; Drift; Electronic nose; Event detection; Gas sensor; Novelty detection; Sensor array

Indexed keywords

ALGORITHMS; CHEMICAL SENSORS; COMPRESSORS; OILS AND FATS; PRINCIPAL COMPONENT ANALYSIS; SENSOR ARRAYS; SPURIOUS SIGNAL NOISE;

CHANGE POINT DETECTION; EVENT DETECTION; OIL VAPOR; RECURSIVE DYNAMIC PRINCIPAL COMPONENT ANALYSIS (RDPCA);

LEAK DETECTION;

EID: 33947132163     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2006.874015     Document Type: Article

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