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
Last changed: 28.12.2023 13:12