Multiscale Gaussian process regression-based generalized likelihood ratio test for fault detection in water distribution networks-Reference-Cited by-同舟云学术

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Multiscale Gaussian process regression-based generalized likelihood ratio test for fault detection in water distribution networks

Published:2019-10 Issue: Volume:85 Page:474-491
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Fazai R.,Mansouri M.,Abodayeh K.,Puig V.,Raouf M.-I. Noori,Nounou H.,Nounou M.

Funder

NPRP, Qatar

Qatar National Research Fund

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference33 articles.

1. An improved method using artificial neural network for fault detection and fault pole identification in voltage source converter-based high-voltage direct current transmission lines;Agarwal;Arab. J. Sci. Eng.,2018

2. Monitoring of wastewater treatment plants using improved univariate statistical technique;Baklouti;Process Saf. Environ. Prot.,2018

3. Multiscale analysis and modeling using wavelets;Bakshi;J. Chemometr.,1999

4. Multiscale statistical process monitoring and diagnosis of univariate and multivariate processes;Bakshi;Amer. Inst. Chem. Eng.,1998

5. Kernel pls-based glrt method for fault detection of chemical processes;Botre;J. Loss Prev. Process Ind.,2016

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