Third international workshop on signal processing applied to rotating machinery diagnostics- SIGPROMD-2025

Author List

• LAKEHAL ABDELAZIZ
  • Author in

    Vector-Embedding Retrieval of Historical Maintenance Actions for Rapid Fault Diagnostics for Cement-Plant Machinery

  • Co-author in

    Bearing Fault Diagnosis Using Vibration Frequency Indicators and Bayesian-Optimized Artificial Neural Networks

  • Co-author in

    Cross-Domain Gearbox Fault Diagnosis Using Wavelet Graph Neural Networks and Meta-Learning Under Few-Shot Conditions

• rabah abdelkader (khemis Milaiana unversity)
  • Author in

    Rolling Bearing Fault Diagnosis Using a Hybrid Approach Based on Adaptive VMD, MED, and Correlation Analysis

• LAKIKZA ABDELMALEK
  • Co-author in

    Bearing Fault Diagnosis Using Vibration Frequency Indicators and Bayesian-Optimized Artificial Neural Networks

• FELKAOUI AHMED (LMPA)
  • Co-author in

    Dynamic Interaction of Compound Bearing-Gear Faults ‎in a Non-Linear Spur Gearbox with Elastic Coupling Under Non-Stationary Conditions

• Mrabti Ammar (2Mechanics & Structures Laboratory, Department of Mechanical Engineering, University of 08 May 1945 Guelma, Algeria)
  • Co-author in

    Simulation-Based Evaluation of Cyclostationarity and VMD for Bearing Fault Diagnosis

• Brahim AYEB (Echahid Echikh Larbi Tebessi Tebessa)
  • Author in

    Intelligent PV System Fault Detection Leveraging Random Forest and Back Propagation Methods

• Sarra BECHIRI (Université de 20 Aout 1955 Skikda)
  • Author in

    Modeling and Simulation of Hydrodynamic Lubrication in Textured Bearing using ANSYS-Fluent

• BACHIR BOUCHEHIT (Université de 20 Aout 1955 Skikda)
  • Co-author in

    Modeling and Simulation of Hydrodynamic Lubrication in Textured Bearing using ANSYS-Fluent

• Badreddine DRISSI (LMPA)
  • Author in

    Dynamic Interaction of Compound Bearing-Gear Faults ‎in a Non-Linear Spur Gearbox with Elastic Coupling Under Non-Stationary Conditions

• MAHFOUDI FAROUK
  • Co-author in

    Bearing Fault Diagnosis Using Vibration Frequency Indicators and Bayesian-Optimized Artificial Neural Networks

• Ahmed Felkaoui (Laboratoire de Mécanique de Précision Appliquée(LMPA), Institut D’optique et Mécanique de Précision(IOMP), Université Ferhat Abbas Sétif1, Sétif, Algérie)
  • Co-author in

    Optimisation structurelle et paramétrique d’un système à inférence floue(FIS) appliqué au diagnostic des défauts mécaniques des machines tournantes

• Dhaouadi GUIZA (Dept. electrical engineering/LABGET Laboratory, Echahid Cheikh Larbi Tebessi University)
  • Author in

    Intelligent PV System Fault Detection Leveraging Random Forest and Back Propagation Methods

• mohamed wassim hadef
  • Author in

    Vector-Embedding Retrieval of Historical Maintenance Actions for Rapid Fault Diagnostics for Cement-Plant Machinery

• Fateh Harrouche (Département de Génie Mécanique, Faculté de Technologie, Université A-M Béjaia Algérie)
  • Author in

    Optimisation structurelle et paramétrique d’un système à inférence floue(FIS) appliqué au diagnostic des défauts mécaniques des machines tournantes

• Tariq Kebabsa (Ecole national supérieur de technologie d'ingénier Annaba)
  • Author in

    Simulation-Based Evaluation of Cyclostationarity and VMD for Bearing Fault Diagnosis

• Mouna LAIFA (Laboratory of Management, Maintenance and Rehabilitation Of Facilities and Urban Infrastructure,Department of Mechanical Engineering, University of Souk Ahras, P.O. Box 1553, Souk-Ahras, 41000, Algeria)
  • Author in

    Cross-Domain Gearbox Fault Diagnosis Using Wavelet Graph Neural Networks and Meta-Learning Under Few-Shot Conditions

• Ammar MRABTI (University of 8 May 1945, Guelma)
  • Author in

    Data-Driven Diagnosis of Bearing Faults in Rotating Machinery Using Raw Vibration Signals and Machine Learning Models

• Djilali NAAR (Khemis Miliana University)
  • Co-author in

    Rolling Bearing Fault Diagnosis Using a Hybrid Approach Based on Adaptive VMD, MED, and Correlation Analysis

• GUERTI NASREDDINE
  • Author in

    Industrial Fault Diagnosis of Bevel Gears Based on Vibration Monitoring and Recurrent Neural Networks

  • Co-author in

    Bearing Fault Diagnosis Using Vibration Frequency Indicators and Bayesian-Optimized Artificial Neural Networks

• Nouredine OUELAA (University of 8 May 1945, Guelma)
  • Author in

    Data-Driven Diagnosis of Bearing Faults in Rotating Machinery Using Raw Vibration Signals and Machine Learning Models

  • Co-author in

    Simulation-Based Evaluation of Cyclostationarity and VMD for Bearing Fault Diagnosis

• Niou Slimen (National Higher School of Technology and Engineering, Industrial Engineering, 23005, Annaba, Algeria)
  • Co-author in

    Simulation-Based Evaluation of Cyclostationarity and VMD for Bearing Fault Diagnosis

• dif sofiane (usthb)
  • Author in

    Sound Perception-Enhanced Diagnostics of Bearing Faults under Variable Speed Operation

• Youcef SOUFI (Dept. electrical engineering/LABGET Laboratory, Echahid Cheikh Larbi Tebessi University)
  • Author in

    Intelligent PV System Fault Detection Leveraging Random Forest and Back Propagation Methods

• KHOUALDIA TAREK
  • Author in

    Bearing Fault Diagnosis Using Vibration Frequency Indicators and Bayesian-Optimized Artificial Neural Networks

• Ramdane YOUNES (Echahid Chikh Larbi Tebessi University, Tébessa, Algeria)
  • Author in

    Data-Driven Diagnosis of Bearing Faults in Rotating Machinery Using Raw Vibration Signals and Machine Learning Models

• Ridha Ziani (Ufas)
  • Author in

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