Search Results - "Ezzaidi, Hassan"

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  1. 1

    Power Transformers OLTC Condition Monitoring Based on Feature Extraction from Vibro-Acoustic Signals: Main Peaks and Euclidean Distance by Dabaghi-Zarandi, Fataneh, Behjat, Vahid, Gauvin, Michel, Picher, Patrick, Ezzaidi, Hassan, Fofana, Issouf

    Published in Sensors (Basel, Switzerland) (01-08-2023)
    “…The detection of On-Load Tap-Changer (OLTC) faults at an early stage plays a significant role in the maintenance of power transformers, which is the most…”
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    Journal Article
  2. 2

    Using Deep Learning to Detect Anomalies in On-Load Tap Changer Based on Vibro-Acoustic Signal Features by Dabaghi-Zarandi, Fataneh, Behjat, Vahid, Gauvin, Michel, Picher, Patrick, Ezzaidi, Hassan, Fofana, Issouf

    Published in Energies (Basel) (01-04-2024)
    “…An On-Load Tap Changer (OLTC) that regulates transformer voltage is one of the most important and strategic components of a transformer. Detecting faults in…”
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    Journal Article
  3. 3

    Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals’ Analysis: A Proof-of-Concept by Segning, Colince Meli, Harvey, Jessica, Ezzaidi, Hassan, Fernandes, Karen Barros Parron, da Silva, Rubens A, Ngomo, Suzy

    Published in Sensors (Basel, Switzerland) (01-08-2022)
    “…This proof-of-concept study explores the potential of developing objective pain identification based on the analysis of electroencephalography (EEG) signals…”
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    Journal Article
  4. 4

    Dynamic behavior of impinging drops on water repellent surfaces: Machine learning-assisted approach to predict maximum spreading by Azimi Yancheshme, Amir, Enayati, Saman, Kashcooli, Yaser, Jafari, Reza, Ezzaidi, Hassan, Momen, Gelareh

    Published in Experimental thermal and fluid science (01-11-2022)
    “…[Display omitted] •Drop dynamic undergoing collision with water repellent surfaces is studied.•Effect of surface features on drop behavior is…”
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    Journal Article
  5. 5

    Reproducing Transformers’ Frequency Response from Finite Element Method (FEM) Simulation and Parameters Optimization by Suassuna de Andrade Ferreira, Regelii, Picher, Patrick, Meghnefi, Fethi, Fofana, Issouf, Ezzaidi, Hassan, Volat, Christophe, Behjat, Vahid

    Published in Energies (Basel) (27-05-2023)
    “…Frequency response analysis (FRA) is being employed worldwide as one of the main methods for the internal condition assessment of transformers due to its…”
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    Journal Article
  6. 6

    A Machine-Learning Approach to Identify the Influence of Temperature on FRA Measurements by Suassuna de Andrade Ferreira, Regelii, Picher, Patrick, Ezzaidi, Hassan, Fofana, Issouf

    Published in Energies (Basel) (01-09-2021)
    “…Frequency response analysis (FRA) is a powerful and widely used tool for condition assessment in power transformers. However, interpretation schemes are still…”
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    Journal Article
  7. 7

    Frequency Response Analysis Interpretation Using Numerical Indices and Machine Learning: A Case Study Based on a Laboratory Model by De Andrade Ferreira, Regelii Suassuna, Picher, Patrick, Ezzaidi, Hassan, Fofana, Issouf

    Published in IEEE access (2021)
    “…Frequency response analysis is a powerful tool for mechanical fault diagnostics in power transformers. However, interpretation schemes still today depend on…”
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    Journal Article
  8. 8

    On the Feasibility of Using Poles Computed from Frequency Domain Spectroscopy to Assess Oil Impregnated Paper Insulation Conditions by Hadjadj, Yazid, Meghnefi, Fethi, Fofana, Issouf, Ezzaidi, Hassan

    Published in Energies (Basel) (01-04-2013)
    “…Frequency Domain Spectroscopy (FDS) is an effective tool allowing assessing the condition of oil-paper insulation system in power equipment. However, results…”
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    Journal Article
  9. 9

    Numerical investigation of electric field distortion induced by internal defects in composite insulators by Kone, Gbah, Volat, Christophe, Ezzaidi, Hassan

    Published in High voltage (01-12-2017)
    “…This paper presents an exhaustive study of numerical investigations based on three-dimensional finite-element method modelling of several non-ceramic…”
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    Journal Article
  10. 10

    Computer-Assisted Aircraft Anti-Icing Fluids Endurance Time Determination by Gagnon, David, Brassard, Jean-Denis, Ezzaidi, Hassan, Volat, Christophe

    Published in Aerospace (01-04-2020)
    “…Deicing and anti-icing the aircraft using proper chemical fluids, prior takeoff, are mandatory. A thin layer of ice or snow can compromise the safety, causing…”
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    Journal Article
  11. 11

    tDCS Task-Oriented Approach Improves Function in Individuals With Fibromyalgia Pain. A Pilot Study by Morin, Marika, St-Gelais, Raphaël, Ketounou, Kossi Épiphane, d'Assomption, Régis M-L, Ezzaidi, Hassan, Fernandes, Karen B P, da Silva, Rubens A, Ngomo, Suzy

    “…Fibromyalgia (FM) is a complex pain syndrome accompanied by physical disability and loss of daily life activities. Evidences suggest that modulation of the…”
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    Journal Article
  12. 12

    Filter group delays equalization for 2D discrete wavelet transform applications by Bahoura, Mohammed, Ezzaidi, Hassan, Méthot, Jean-François

    Published in Expert systems with applications (15-08-2022)
    “…This paper presents a new approach to perform near-perfect image reconstruction for an online/real-time two-dimensional discrete wavelet transform (2D-DWT)…”
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    Journal Article
  13. 13

    FPGA-Implementation of Discrete Wavelet Transform with Application to Signal Denoising by Bahoura, Mohammed, Ezzaidi, Hassan

    Published in Circuits, systems, and signal processing (01-06-2012)
    “…This paper presents new architectures for real-time implementation of the forward/inverse discrete wavelet transforms and their application to signal…”
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    Journal Article
  14. 14

    Hardware Implementation of the Dual-Channel Spectral Subtraction Method for Lung Sounds Denoising by Bahoura, Mohammed, Ezzaidi, Hassan

    “…In this paper, a hardware architecture of dual-channel spectral subtraction method has been proposed for real-time lung sounds enhancement. The proposed…”
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    Conference Proceeding
  15. 15

    Human-robot collaboration while sharing production activities in dynamic environment: SPADER system by Meziane, Ramy, Otis, Martin J.-D., Ezzaidi, Hassan

    “…Interactive robot doing collaborative work in hybrid work cell need adaptive trajectory planning strategy. Indeed, systems must be able to generate their own…”
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    Journal Article
  16. 16

    FPGA-Implementation of Parallel and Sequential Architectures for Adaptive Noise Cancelation by Bahoura, Mohammed, Ezzaidi, Hassan

    Published in Circuits, systems, and signal processing (01-12-2011)
    “…This paper presents a FPGA-based rapid prototyping of an adaptive noise canceller (ANC) using XUP Virtex-II Pro development board and Xilinx System Generator…”
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    Journal Article
  17. 17

    A Neurophysiological Pattern as a Precursor of Work-Related Musculoskeletal Disorders Using EEG Combined with EMG by Segning, Colince Meli, Ezzaidi, Hassan, da Silva, Rubens A, Ngomo, Suzy

    “…We aimed to determine the neurophysiological pattern that is associated with the development of musculoskeletal pain that is induced by biomechanical…”
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    Journal Article
  18. 18

    FPGA-implementation of wavelet-based denoising technique to remove power-line interference from ECG signal by Bahoura, M, Ezzaidi, H

    “…This paper presents a real-time implementation on FPGA of a wavelet-based denoising technique applied to remove power-line interference from ECG signal. The…”
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    Conference Proceeding
  19. 19

    Hardware implementation of MFCC feature extraction for respiratory sounds analysis by Bahoura, Mohammed, Ezzaidi, Hassan

    “…In this paper, an acoustic feature extraction method based on mel frequency cepstral coefficients (MFCC) was implemented on FPGA for real-time respiratory…”
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    Conference Proceeding
  20. 20

    Real-time implementation of an adaptive noise canceller based on MicroBlaze soft processor by Bahoura, Mohammed, Ezzaidi, Hassan

    “…In this paper, two architectures based on the MicroBlaze soft processor are implemented on FPGA for realtime adaptive noise cancellation. The first…”
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    Conference Proceeding