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

abstract

• 2018 IEEE. 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.

name of conference

• 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)

authors

• Nounou, Mohamed

published proceedings

• 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA)

author list (cited authors)

• Baklouti, I., Mansouri, M., Hamida, A. B., Nounou, H., & Nounou, M.

citation count

• 2

complete list of authors

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

publication date

• January 2018

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA  Journal

Digital Object Identifier (DOI)

• 10.1109/aiccsa.2018.8612891

International Standard Book Number (ISBN) 13

• 9781538691205

start page

• 1

end page

• 6

volume

• 2018-November

URL

• https://ieeexplore.ieee.org/xpl/conhome/8612460/proceeding