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Fahad Alharbi
Fahad Alharbi
PhD Student ،The University of Newcastle
Verified email at uon.edu.au
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Cited by
Year
A brief review of acoustic and vibration signal-based fault detection for belt conveyor idlers using machine learning models
F Alharbi, S Luo, H Zhang, K Shaukat, G Yang, CA Wheeler, Z Chen
Sensors 23 (4), 1902, 2023
562023
A Review of Fault Detecting Devices for Belt Conveyor Idlers
F Alharbi, S Luo
42024
Belt Conveyor Idlers Fault Detection Using Acoustic Analysis and Deep Learning Algorithm with the YAMNet Pretrained Network
F Alharbi, S Luo, S Zhao, G Yang, C Wheeler, Z Chen
IEEE Sensors Journal, 2024
32024
CASSAD: Chroma-Augmented Semi-Supervised Anomaly Detection for Conveyor Belt Idlers
F Alharbi, S Luo, A Alsaedi, S Zhao, G Yang
Sensors 24 (23), 7569, 2024
2024
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