Robust soft sensors for SBR monitoring Journal Articles

abstract

• In wastewater treatment some process variables may be very difficult to measure directly because of the non-availability or excessive cost of sensors. An alternative is to use ‘soft sensors” that provide online estimates of these inacessible variables by calculations based on auxiliary measurable variables. Two such sensors are proposed based on extended Kalman filtering or neural networks that could enable this monitoring of nitrate ion, ammonium ion and carbonaceous matter concentrations during nitrification of wastewater.

authors

• Zyngier, Danielle
• Araújo, OQ
• Coelho, MA
• Lima, EL

status

• published 

publication date

• February 1, 2001

has subject area

• Bioreactors (MeSH)
• Carbon (MeSH)
• Environmental Engineering (Science Metrix)
• Neural Networks, Computer (MeSH)
• Nitrates (MeSH)
• Nitrogen (MeSH)
• Quaternary Ammonium Compounds (MeSH)
• Waste Disposal, Fluid (MeSH)

published in

• Water Science and Technology  Journal

keywords

• Bioreactors
• Carbon
• Neural Networks, Computer
• Nitrates
• Nitrogen
• Quaternary Ammonium Compounds
• Waste Disposal, Fluid

Digital Object Identifier (DOI)

• 10.2166/wst.2001.0124

PubMed ID

• 11381892

start page

• 101

end page

• 105

volume

• 43

issue

• 3