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Wahiba Bounoua

Wahiba Bounoua

PhD Research Fellow

Department of Engineering Sciences >

 

+47 37 23 34 53

Office:
D3064 ( Jon Lilletuns vei 9, Grimstad )

Wahiba Bounoua is a Ph.D. research fellow in mechatronics at the University of Agder, Norway. She obtained a bachelor’s degree in Electrical and Electronics Engineering and a master's degree in Control Engineering from the Institute of Electrical and Electronics Engineering, Algeria. She has extensive interests in statistical signal processing and machine learning techniques developed for industrial applications, that foster safety, availability and reliability.

 

Publications

Bounoua, W., Aftab, M. F., & Omlin, C. W. P. (2023). Stiction detection in industrial control valves using Poincaré plot-based convolutional neural networks. IFAC-PapersOnLine. ISSN: 2405-8963. 56 (2). s 11687 - 11692. doi:10.1016/j.ifacol.2023.10.523.

Bounoua, W., Aftab, M. F., & Omlin, C. W. P. (2023). "Online detrended fluctuation analysis and improved empirical wavelet transform for real-time oscillations detection in industrial control loops". Computers & Chemical Engineering, 108173. https://doi.org/10.1016/j.compchemeng.2023.108173

Bounoua, W., Aftab, M. F., & Omlin, C. W. P. (2022). "Controller Performance Monitoring: A Survey of Problems and a Review of Approaches from a Data-Driven Perspective with a Focus on Oscillations Detection and Diagnosis". Industrial & Engineering Chemistry Research, acs.iecr.2c02785. https://doi.org/10.1021/acs.iecr.2c02785  

Selected publications

  1. Bounoua, W., & Bakdi, A. (2021). Fault detection and diagnosis of nonlinear dynamical processes through correlation dimension and fractal analysis based dynamic kernel PCA. Chemical Engineering Science, 229, 116099. https://doi.org/10.1016/j.ces.2020.116099  
  2. Bakdi, A., Bounoua, W., Guichi, A., & Mekhilef, S. (2021). Real-time fault detection in PV systems under MPPT using PMU and high-frequency multi-sensor data through online PCA-KDE-based multivariate KL divergence. International Journal of Electrical Power & Energy Systems, 125, 106457. https://doi.org/10.1016/j.ijepes.2020.106457   
  3. Bounoua, W., Benkara, A. B., Kouadri, A., & Bakdi, A. (2020). Online monitoring scheme using principal component analysis through Kullback-Leibler divergence analysis technique for fault detection. Transactions of the Institute of Measurement and Control, 42(6), 1225–1238. https://doi.org/10.1177/0142331219888370  
  4. Bakdi, A., Bounoua, W., Mekhilef, S., & Halabi, L. M. (2019). Nonparametric Kullback-divergence-PCA for intelligent mismatch detection and power quality monitoring in grid-connected rooftop PV. Energy, 189, 116366. https://doi.org/10.1016/j.energy.2019.116366  

Scientific publications

  • Bounoua, Wahiba; Aftab, Muhammad Faisal; Omlin, Christian Walter Peter (2023). Online detrended fluctuation analysis and improved empirical wavelet transform for real-time oscillations detection in industrial control loops. Computers and Chemical Engineering. ISSN: 0098-1354. 172doi:10.1016/j.compchemeng.2023.108173.
  • Bounoua, Wahiba; Aftab, Muhammad Faisal; Omlin, Christian Walter Peter (2023). Stiction detection in industrial control valves using Poincaré plot-based convolutional neural networks. IFAC-PapersOnLine. ISSN: 2405-8963. 56 (2). s 11687 - 11692. doi:10.1016/j.ifacol.2023.10.523.

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Last changed: 28.12.2023 13:12