A neural network approach for on-line fault detection of nitrogen sensors in alternated active sludge treatment plants

Water Science and Technology

Volumn 62, Issue 12, 2010, Pages 2760-2768

  Caccavale, F ^a   Digiulio, P ^a   Iamarino, M ^a   Masi, S ^a   Pierri, F ^a  

^a UNIVERSITY OF BASILICATA   (Italy)

Author keywords

Alternated active sludge treatment plants; Neural networks; Sensors fault detection

Indexed keywords

CONCENTRATION VALUES; FAULT-FREE OPERATIONS; GENERALIZATION ABILITY; ON-LINE FAULT DETECTION; PREDICTIVE NEURAL NETWORK; SENSORS FAULT DETECTION; SLUDGE TREATMENT PLANTS; WASTEWATER TREATMENT PLANTS; WEATHER CONDITIONS;

AMMONIUM COMPOUNDS; FAULT DETECTION; NITROGEN; NITROGEN REMOVAL; SENSORS; WASTEWATER; WASTEWATER TREATMENT; WATER TREATMENT PLANTS;

NEURAL NETWORKS;

AMMONIA; NITRATE; NITRITE; NITROGEN;

ACTIVATED SLUDGE; AMMONIUM; ARTIFICIAL NEURAL NETWORK; NITRATE; NITRITE; NITROGEN; OXIDATION; REDUCTION; WASTE TREATMENT; WASTEWATER;

ARTICLE; ARTIFICIAL NEURAL NETWORK; NOISE; OXIDATION; PROCESSING; SENSOR; SIMULATION; SLUDGE TREATMENT; WEATHER;

AUTOMATION; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NITROGEN; SEWAGE; WASTE DISPOSAL, FLUID; WASTE MANAGEMENT;

EID: 78751528101     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2010.025     Document Type: Article

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