Mohamed-Faouzi Harkat, PhD

Assistant Research Scientist

  • 412 Citations
  • 11 h-Index
20032019
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Fingerprint Dive into the research topics where Mohamed-Faouzi Harkat is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Fault detection Engineering & Materials Science
Principal component analysis Engineering & Materials Science
Process monitoring Engineering & Materials Science
Monitoring Engineering & Materials Science
Air quality Engineering & Materials Science
Sensors Engineering & Materials Science
Process Monitoring Mathematics
Kernel Principal Component Analysis Mathematics

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Research Output 2003 2019

  • 412 Citations
  • 11 h-Index
  • 24 Article
  • 16 Conference contribution
  • 4 Conference article
  • 2 Paper

A new monitoring scheme of an air quality network based on the kernel method

Said, M., Abdellafou, K. B., Taouali, O. & Harkat, M-F., 1 Jan 2019, In : International Journal of Advanced Manufacturing Technology.

Research output: Contribution to journalArticle

Air quality
Monitoring
Air pollution
Fault detection
Health
1 Citation (Scopus)
Nonlinear Process
Fault Detection
Fault detection
Data-driven
Interval

Kernel Generalized Likelihood Ratio Test for Fault Detection of Chemical Processes

Baklouti, R., Ben Hamida, A., Mansouri, M., Harkat, M-F., Nounou, H. & Nounou, M., 16 Jan 2019, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 2663-2668 6 p. 8616451. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

Chemical Phenomena
Principal Component Analysis
Fault detection
Principal component analysis
Monitoring

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

Fezai, R., Mansouri, M., Taouali, O., Harkat, M-F. & Nounou, H., 16 Jan 2019, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3159-3164 6 p. 8616532. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

Principal Component Analysis
Fault detection
Air quality
Principal component analysis
Air
2 Citations (Scopus)

Supervised process monitoring and fault diagnosis based on machine learning methods

Lahdhiri, H., Said, M., Abdellafou, K. B., Taouali, O. & Harkat, M-F., 1 Jan 2019, In : International Journal of Advanced Manufacturing Technology.

Research output: Contribution to journalArticle

Process monitoring
Fault detection
Failure analysis
Learning systems
Principal component analysis