Literature DB >> 26877049

Fault detection and isolation of sensors in aeration control systems.

Bengt Carlsson1, Jesús Zambrano1.   

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.

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Year:  2016        PMID: 26877049     DOI: 10.2166/wst.2015.529

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  1 in total

1.  Monitoring and detecting faults in wastewater treatment plants using deep learning.

Authors:  Behrooz Mamandipoor; Mahshid Majd; Seyedmostafa Sheikhalishahi; Claudio Modena; Venet Osmani
Journal:  Environ Monit Assess       Date:  2020-01-29       Impact factor: 2.513

  1 in total

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