Low-Speed Bearing Fault Diagnosis Based on ArSSAE Model Using Acoustic Emission and Vibration Signals. - Syahril Ramadhan Saufi; Zair Asrar Bin Ahmad; Mohd Salman Leong; Meng Hee Lim (IEEE Access, 2019)

Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review. - Syahril Ramadhan Saufi; Zair Asrar Bin Ahmad; Mohd Salman Leong; Meng Hee Lim (IEEE Access, 2019)

Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample. - Syahril Ramadhan Saufi; Zair Asrar Bin Ahmad; Mohd Salman Leong; Meng Hee Lim (IEEE Trans. Ind. Informatics, 2020)

Remaining useful life prediction using an integrated Laplacian-LSTM network on machinery components. - Mohd Syahril Ramadhan Mohd Saufi; Kamarul Arifin Hassan (Appl. Soft Comput., 2021)

Machinery fault diagnosis based on a modified hybrid deep sparse autoencoder using a raw vibration time-series signal. - Syahril Ramadhan Saufi; Muhammad Firdaus Isham; Zair Asrar Bin Ahmad; Muhammad Danial Bin Abu Hasan (J. Ambient Intell. Humaniz. Comput., 2023)

SiamSpecNet: One-Shot Bearing Fault Diagnosis Using Siamese Networks and Gabor Spectrograms. - N. Fathiah Waziralilah; Aminudin Abu; Meng Hee Lim; Lee Kee Quen; Mohd Syahril Ramadhan Mohd Saufi (IEEE Access, 2025)