Bilel Maamer
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Bilel Maamer has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Antonino Imburgia
Department of Engineering, L.E.PR.E. H.V. Laboratory, University of Palermo, Palermo, Italy
1 shared publication - Denis Flandre
Université Catholique de Louvain (UCLouvain)
1 shared publication - Fares Tounsi
SMALL Group, ICTEAM Institute, UCLouvain, 1348 Louvain-la-Neuve, Belgium
1 shared publication - Mohamed Hadj Said
CRMN, Center for Research on Microelectronics and Nanotechnology Sousse
1 shared publication - Pietro Romano
University of Palermo
1 shared publication - Sinda Kaziz
Systems Integration and Emerging Energies (SI2E) Laboratory, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia
1 shared publication
Latest Publications
- Open Access
Radiometric Partial Discharge Detection: A Review
One of the most common failures or breakdowns that can occur in high-voltage (HV) equipment is due to partial discharges (PDs). This occurs as a result of inadequate insulation, aging, harsh environmental effects, or manufacturing flaws. PD detection and recognition methods have gained growing attention and have seen great progress in the past decades. Radiometric methods are one of the most investigated detection approaches due to their immunity to electromagnetic interference (EMI) and their capabilities to detect and locate PD activities in different applications such as transformers, cables, etc. Several review articles have been published to classify and categorize these works. Nonetheless, some concepts are missing, and some improvement techniques, such as PD detection at high-frequency (HF) and very high-frequency (VHF), have been overlooked. We present in this paper an exhaustive review study of state-of-the-art PD detection based on radiometric methods at different usable radiofrequency bands (i.e., HF, VHF, and UHF). Accordingly, we propose a new generic categorization approach based on the detected electromagnetic wave component (magnetic or electric fields) and pick-up location, either from free space or ground cable.
Open AccessRadiometric Partial Discharge Detection: A Review
One of the most common failures or breakdowns that can occur in high-voltage (HV) equipment is due to partial discharges (PDs). This occurs as a result of inadequate insulation, aging, harsh environmental effects, or manufacturing flaws. PD detection and recognition methods have gained growing attention and have seen great progress in the past decades. Radiometric methods are one of the most investigated detection approaches due to their immunity to electromagnetic interference (EMI) and their capabilities to detect and locate PD activities in different applications such as transformers, cables, etc. Several review articles have been published to classify and categorize these works. Nonetheless, some concepts are missing, and some improvement techniques, such as PD detection at high-frequency (HF) and very high-frequency (VHF), have been overlooked. We present in this paper an exhaustive review study of state-of-the-art PD detection based on radiometric methods at different usable radiofrequency bands (i.e., HF, VHF, and UHF). Accordingly, we propose a new generic categorization approach based on the detected electromagnetic wave component (magnetic or electric fields) and pick-up location, either from free space or ground cable.