Soft sensors for control of nitrogen and phosphorus removal from wastewaters by neural networks

Water Science and Technology

Volumn 45, Issue 4-5, 2002, Pages 101-107

  Luccarini, L ^a   Porra E ^b   Spagni, A ^c   Ratini, P ^d   Grilli, S ^a   Longhi, S ^b   Bortone, G ^a  

^a ENEA   (Italy)

^b UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

^c ENEA   (Italy)

^d SPES Scrl   (Italy)

Author keywords

Activated sludge modelling; Neural network; Nitrogen and phosphorus removal; ORP; pH; Realtime control; Sequencing batch reactor; Soft sensor

Indexed keywords

ACTIVATED SLUDGE PROCESS; NEURAL NETWORKS; OPTIMAL CONTROL SYSTEMS; PH EFFECTS; REDOX REACTIONS; WASTEWATER TREATMENT;

NEURAL NETWORK (NN) MODELS; SEQUENCING BATCH REACTORS (SBRS);

NITROGEN REMOVAL;

NITROGEN; PHOSPHORUS;

ACTIVATED SLUDGE; NEURAL NETWORK; NITROGEN; PHOSPHORUS; POLLUTANT REMOVAL; PROCESS CONTROL; SENSOR; WASTEWATER TREATMENT;

ACCURACY; ACTIVATED SLUDGE; ARTIFICIAL NEURAL NETWORK; CONCENTRATION (PARAMETERS); CONFERENCE PAPER; CONTROL SYSTEM; DENITRIFICATION; DEPHOSPHORYLATION; ENERGY CONSERVATION; NUTRIENT; ONLINE MONITORING; OXIDATION REDUCTION POTENTIAL; PH; PREDICTION; PROCESS CONTROL; PROCESS DESIGN; PROCESS MODEL; PRODUCTIVITY; REPRODUCIBILITY; RESEARCH; SENSOR; SEQUENCING BATCH REACTOR; WASTE WATER MANAGEMENT; WATER POLLUTANT;

EID: 0036201619     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2002.0562     Document Type: Conference Paper

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