Max-Double Adaptive EWMA for Fault Detection of Wastewater Treatment Plants

Imen Baklouti, Majdi Mansouri, Ahmed Ben Hamida, Hazem Nounou, Mohamed Nounou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The objective of this paper is to extend the Maximum Adaptive Exponential Weighted Moving Average (Max-AEWMA) chart to the Max Double AEWMA (Max-DAEWMA) chart. The Max-DAEWMA statistic is based on the Max of the absolute values of the two DAEWMA statistics, one for controlling the variance and the other for the mean. The combined novel technique, is called particle filter (PF)-based Max-DAEWMA for detecting faults of wastewater treatment plants (WWTP). The statistical chart, Max-DAEWMA is applied to detect the fault in mean and/or drifts in WWTP systems where the state variables are estimated using PF technique. The results show the effectiveness of the Max-DAEWMA method over Max-DEWMA and EWMA charts.

Original languageEnglish
Title of host publication2018 IEEE/ACS 15th International Conference on Computer Systems and Applications, AICCSA 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781538691205
DOIs
Publication statusPublished - 14 Jan 2019
Event15th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2018 - Aqaba, Jordan
Duration: 28 Oct 20181 Nov 2018

Publication series

NameProceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Volume2018-November
ISSN (Print)2161-5322
ISSN (Electronic)2161-5330

Conference

Conference15th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2018
CountryJordan
CityAqaba
Period28/10/181/11/18

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Keywords

  • Fault Detection (FD)
  • Max Double-Adaptive Exponentially Weighted Moving Average (Max-DAEWMA)
  • Particle Filter (PF)
  • Wastewater Treatment Plant (WWTP)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Baklouti, I., Mansouri, M., Ben Hamida, A., Nounou, H., & Nounou, M. (2019). Max-Double Adaptive EWMA for Fault Detection of Wastewater Treatment Plants. In 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications, AICCSA 2018 [8612891] (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; Vol. 2018-November). IEEE Computer Society. https://doi.org/10.1109/AICCSA.2018.8612891