title: Fault detection and isolation of sensors in aeration control systems.
abstract: In this paper, we consider the problem of fault detection (FD) and isolation in the aeration system of an activated sludge process. For this study, the dissolved oxygen in each aerated zone is assumed to be controlled automatically. As the basis for an FD method we use the ratio of air flow rates into different zones. The method is evaluated in two scenarios: using the Benchmark Simulation Model no. 1 (BSM1) by Monte Carlo simulations and using data from a wastewater treatment plant. The FD method shows good results for a correct and early FD and isolation.
authors.affiliation: Division of System and Control, Department of Information Technology, Uppsala University, PO Box 337, 75105 Uppsala, Sweden E-mail: jesus.zambrano@it.uu.se.
authors.forename: Bengt
authors.initials: B
authors.lastname: Carlsson
authors.affiliation: Division of System and Control, Department of Information Technology, Uppsala University, PO Box 337, 75105 Uppsala, Sweden E-mail: jesus.zambrano@it.uu.se.
authors.forename: Jesús
authors.initials: J
authors.lastname: Zambrano
mesh_terms: D008962:Models, Theoretical; D009010:Monte Carlo Method; D010100:Oxygen / Q000032:analysis*; D012722:Sewage / Q000032:analysis*; D014865:Waste Disposal, Fluid / Q000295:instrumentation / Q000379:methods*; D062065:Wastewater / Q000032:analysis*
chemical_list: D010100:Oxygen; D012722:Sewage; D062065:Wastewater