Fault diagnosis based on PCA for sensors of laboratorial wastewater treatment process

Chemometrics and Intelligent Laboratory Systems

Volumn 128, Issue , 2013, Pages 49-55

  Tao, E P ^a   Shen, W H ^a   Liu, T L ^b   Chen, X Q ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Fault diagnosis; Principal component analysis; Sensor; Wastewater

Indexed keywords

CALCIUM CARBONATE; DISSOLVED OXYGEN; NITROGEN; PHOSPHORUS;

ACTIVATED SLUDGE; ALKALINITY; ARTICLE; BIOSENSOR; CHEMICAL OXYGEN DEMAND; COMPARATIVE STUDY; CONTROLLED STUDY; ONLINE MONITORING; OXIDATION REDUCTION POTENTIAL; PH; PILOT STUDY; PRINCIPAL COMPONENT ANALYSIS; PRINCIPAL COMPONENT LOADING; PRINCIPAL COMPONENT SCORE; PRIORITY JOURNAL; SENSOR FAULT DIAGNOSIS; SEQUENCING BATCH REACTOR; SEWAGE TREATMENT; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS; WASTE WATER MANAGEMENT; WATER QUALITY;

EID: 84882996883     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2013.07.012     Document Type: Article

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