Multiple sensor fault detection and isolation of an air quality monitoring network using RBF-NLPCA model

Mohamed Faouzi Harkat; Yvon Tharrault; Gilles Mourot; Jose Ragot

doi:10.1504/ijais.2010.034804

Multiple sensor fault detection and isolation of an air quality monitoring network using RBF-NLPCA model

International Journal of Adaptive and Innovative Systems ◽

10.1504/ijais.2010.034804 ◽

2010 ◽

Vol 1 (3/4) ◽

pp. 267 ◽

Cited By ~ 4

Author(s):

Mohamed Faouzi Harkat ◽

Yvon Tharrault ◽

Gilles Mourot ◽

Jose Ragot

Keyword(s):

Air Quality ◽

Fault Detection ◽

Monitoring Network ◽

Fault Detection And Isolation ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Sensor Fault ◽

Sensor Fault Detection ◽

Multiple Sensor

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New hierarchical approach for multiple sensor fault detection and isolation. Application to an air quality monitoring network

18th Mediterranean Conference on Control and Automation, MED'10 ◽

10.1109/med.2010.5547830 ◽

2010 ◽

Cited By ~ 1

Author(s):

Y. Tharrault ◽

M.-F. Harkat ◽

G. Mourot ◽

J. Ragot

Keyword(s):

Air Quality ◽

Fault Detection ◽

Monitoring Network ◽

Fault Detection And Isolation ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Hierarchical Approach ◽

Sensor Fault ◽

Sensor Fault Detection ◽

Multiple Sensor

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Multiple sensor fault detection and isolation of an air quality monitoring network using RBF-NLPCA model

IFAC Proceedings Volumes ◽

10.3182/20090630-4-es-2003.00136 ◽

2009 ◽

Vol 42 (8) ◽

pp. 828-833 ◽

Cited By ~ 3

Author(s):

M.-F. HARKAT ◽

G. MOUROT ◽

J. RAGOT

Keyword(s):

Air Quality ◽

Fault Detection ◽

Monitoring Network ◽

Fault Detection And Isolation ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Sensor Fault ◽

Sensor Fault Detection ◽

Multiple Sensor

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Sensor fault detection using a new online reduced rank kernel PCA for monitoring an air quality monitoring network

2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET) ◽

10.1109/aset.2019.8871046 ◽

2019 ◽

Author(s):

Hajer Lahdhiri ◽

Maroua Said ◽

Okba Taouali

Keyword(s):

Air Quality ◽

Fault Detection ◽

Monitoring Network ◽

Quality Monitoring ◽

Kernel Pca ◽

Air Quality Monitoring ◽

Sensor Fault ◽

Reduced Rank ◽

Sensor Fault Detection

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Online fault detection and isolation of an AIR quality monitoring network based on machine learning and metaheuristic methods

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-018-2674-6 ◽

2018 ◽

Vol 99 (9-12) ◽

pp. 2789-2802 ◽

Cited By ~ 7

Author(s):

Radhia Fazai ◽

Khaoula Ben Abdellafou ◽

Maroua Said ◽

Okba Taouali

Keyword(s):

Machine Learning ◽

Air Quality ◽

Fault Detection ◽

Monitoring Network ◽

Fault Detection And Isolation ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Metaheuristic Methods

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Multiple-sensor fault detection and isolation using video processing in production lines

International Journal of Computer Integrated Manufacturing ◽

10.1080/0951192x.2019.1667540 ◽

2019 ◽

Vol 33 (6) ◽

pp. 531-549

Author(s):

Ali Abdo ◽

Jamal Siam ◽

Bashir Salah ◽

Mohammed Krid

Keyword(s):

Fault Detection ◽

Video Processing ◽

Fault Detection And Isolation ◽

Sensor Fault ◽

Production Lines ◽

Sensor Fault Detection ◽

Multiple Sensor

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Fault detection of an air quality monitoring network

2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) ◽

10.1109/sta.2016.7952051 ◽

2016 ◽

Cited By ~ 3

Author(s):

Raoudha Baklouti ◽

Ahmed Ben Hamida ◽

Majdi Mansouri ◽

Mohamed N. Nounou

Keyword(s):

Air Quality ◽

Fault Detection ◽

Monitoring Network ◽

Quality Monitoring ◽

Air Quality Monitoring

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Recursive kernel PCA-based GLRT for fault detection: Application to an air quality monitoring network

2017 International Conference on Smart, Monitored and Controlled Cities (SM2C) ◽

10.1109/sm2c.2017.8071839 ◽

2017 ◽

Cited By ~ 2

Author(s):

Raoudha Baklouti ◽

Majdi Mansouri ◽

Hazem Nounou ◽

Mohamed Nounou ◽

Ahmed Ben Hamida

Keyword(s):

Air Quality ◽

Fault Detection ◽

Monitoring Network ◽

Quality Monitoring ◽

Kernel Pca ◽

Air Quality Monitoring

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Adaptive Approximation for Multiple Sensor Fault Detection and Isolation of Nonlinear Uncertain Systems

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2013.2250301 ◽

2014 ◽

Vol 25 (1) ◽

pp. 137-153 ◽

Cited By ~ 51

Author(s):

Vasso Reppa ◽

Marios M. Polycarpou ◽

Christos G. Panayiotou

Keyword(s):

Fault Detection ◽

Uncertain Systems ◽

Fault Detection And Isolation ◽

Sensor Fault ◽

Adaptive Approximation ◽

Sensor Fault Detection ◽

Multiple Sensor ◽

Nonlinear Uncertain Systems

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Enhanced fault detection of an air quality monitoring network

2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) ◽

10.1109/eesms.2017.8052681 ◽

2017 ◽

Author(s):

Majdi Mansouri ◽

Hazem Nounou ◽

Mohamed Faouzi Harkat ◽

Mohamed Nounou

Keyword(s):

Air Quality ◽

Fault Detection ◽

Monitoring Network ◽

Quality Monitoring ◽

Air Quality Monitoring

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Reduced Kernel Principal Component Analysis for Fault Detection and Its Application to an Air Quality Monitoring Network

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2018.00535 ◽

2018 ◽

Author(s):

Radhia Fezai ◽

Majdi Mansouri ◽

Okba Taouali ◽

Mohamed Faouzi Harkat ◽

Hazem Nounou

Keyword(s):

Principal Component Analysis ◽

Air Quality ◽

Fault Detection ◽

Monitoring Network ◽

Principal Component ◽

Component Analysis ◽

Quality Monitoring ◽

Kernel Principal Component Analysis ◽

Air Quality Monitoring

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