Multiscale Gaussian Process Regression-Based GLRT for Water Quality Monitoring

Radhia Fazai, Majdi Mansouri, Kamal Abodayeh, Vicenc Puig, Mohamed Selmi, Hazem Nounou, Mohamed Nounou

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

Abstract

This paper proposes a new contaminant detection and water quality monitoring approach. Firstly, we propose an enhanced water quality modeling technique based on machine learning (e.g Gaussian process regression (GPR)) that aims at improving the proper understanding of the behavior of water distribution systems. To improve the performances of the developed water quality model even further, multiscale representation of data will be used to develop multiscale extension of these method. Multiscale representation is a powerful data analysis way that presents efficient separation of deterministic characteristics from random noise. Thus, multiscale GPR method, that combines the advantages of the machine learning method with those of multiscale representation, will be developed to enhance the water quality modeling performance. Secondly, technique to detect contaminant in WDN using hypothesis testing chart will be developed. Generalized likelihood ratio test (GLRT) has shown a good detection performances when compared to the classical detection charts. Then, to further enhance the performance of contaminant detection, a multiscale GPR-based exponentially weighted moving average (EWMA) GLRT (EWMA-GLRT) chart is developed. Therefore, this paper aims at enhancing the performances of contaminant monitoring using multiscale GPR-based GLRT and MSGPR-based EWMA-GLRT approaches.

Original languageEnglish
Title of host publication2019 4th Conference on Control and Fault Tolerant Systems, SysTol 2019
PublisherIEEE Computer Society
Pages44-49
Number of pages6
ISBN (Electronic)9781728103808
DOIs
Publication statusPublished - Sep 2019
Event4th Conference on Control and Fault Tolerant Systems, SysTol 2019 - Casablanca, Morocco
Duration: 18 Sep 201920 Sep 2019

Publication series

NameConference on Control and Fault-Tolerant Systems, SysTol
ISSN (Print)2162-1195
ISSN (Electronic)2162-1209

Conference

Conference4th Conference on Control and Fault Tolerant Systems, SysTol 2019
CountryMorocco
CityCasablanca
Period18/9/1920/9/19

Fingerprint

Water quality
Impurities
Monitoring
Learning systems
Water distribution systems
Testing

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software
  • Control and Systems Engineering

Cite this

Fazai, R., Mansouri, M., Abodayeh, K., Puig, V., Selmi, M., Nounou, H., & Nounou, M. (2019). Multiscale Gaussian Process Regression-Based GLRT for Water Quality Monitoring. In 2019 4th Conference on Control and Fault Tolerant Systems, SysTol 2019 (pp. 44-49). [8864788] (Conference on Control and Fault-Tolerant Systems, SysTol). IEEE Computer Society. https://doi.org/10.1109/SYSTOL.2019.8864788

Multiscale Gaussian Process Regression-Based GLRT for Water Quality Monitoring. / Fazai, Radhia; Mansouri, Majdi; Abodayeh, Kamal; Puig, Vicenc; Selmi, Mohamed; Nounou, Hazem; Nounou, Mohamed.

2019 4th Conference on Control and Fault Tolerant Systems, SysTol 2019. IEEE Computer Society, 2019. p. 44-49 8864788 (Conference on Control and Fault-Tolerant Systems, SysTol).

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

Fazai, R, Mansouri, M, Abodayeh, K, Puig, V, Selmi, M, Nounou, H & Nounou, M 2019, Multiscale Gaussian Process Regression-Based GLRT for Water Quality Monitoring. in 2019 4th Conference on Control and Fault Tolerant Systems, SysTol 2019., 8864788, Conference on Control and Fault-Tolerant Systems, SysTol, IEEE Computer Society, pp. 44-49, 4th Conference on Control and Fault Tolerant Systems, SysTol 2019, Casablanca, Morocco, 18/9/19. https://doi.org/10.1109/SYSTOL.2019.8864788
Fazai R, Mansouri M, Abodayeh K, Puig V, Selmi M, Nounou H et al. Multiscale Gaussian Process Regression-Based GLRT for Water Quality Monitoring. In 2019 4th Conference on Control and Fault Tolerant Systems, SysTol 2019. IEEE Computer Society. 2019. p. 44-49. 8864788. (Conference on Control and Fault-Tolerant Systems, SysTol). https://doi.org/10.1109/SYSTOL.2019.8864788
Fazai, Radhia ; Mansouri, Majdi ; Abodayeh, Kamal ; Puig, Vicenc ; Selmi, Mohamed ; Nounou, Hazem ; Nounou, Mohamed. / Multiscale Gaussian Process Regression-Based GLRT for Water Quality Monitoring. 2019 4th Conference on Control and Fault Tolerant Systems, SysTol 2019. IEEE Computer Society, 2019. pp. 44-49 (Conference on Control and Fault-Tolerant Systems, SysTol).
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