Wavelet analysis: mother wavelet selection methods WK Ngui, MS Leong, LM Hee, AM Abdelrhman Applied mechanics and materials 393, 953-958, 2013 | 337 | 2013 |
Challenges and opportunities of deep learning models for machinery fault detection and diagnosis: A review SR Saufi, ZAB Ahmad, MS Leong, MH Lim Ieee Access 7, 122644-122662, 2019 | 284 | 2019 |
Gearbox fault diagnosis using a deep learning model with limited data sample SR Saufi, ZAB Ahmad, MS Leong, MH Lim IEEE Transactions on Industrial Informatics 16 (10), 6263-6271, 2020 | 215 | 2020 |
Review of vibration-based energy harvesting technology: Mechanism and architectural approach J Siang, MSL M.H.Lim International Journal of Energy Research 42 (5), 1866-1893, 2018 | 206 | 2018 |
Dempster-Shafer evidence theory for multi-bearing faults diagnosis KH Hui, MH Lim, MS Leong, SM Al-Obaidi Engineering Applications of Artificial Intelligence 57, 160-170, 2017 | 117 | 2017 |
An improved wrapper-based feature selection method for machinery fault diagnosis KH Hui, CS Ooi, MH Lim, MS Leong, SM Al-Obaidi PloS one 12 (12), e0189143, 2017 | 73 | 2017 |
Scopes, challenges and approaches of energy harvesting for wireless sensor nodes in machine condition monitoring systems: A review I Ahmad, LM Hee, AM Abdelrhman, SA Imam, MS Leong Measurement 183, 109856, 2021 | 67 | 2021 |
Variational mode decomposition: mode determination method for rotating machinery diagnosis MF Isham, MS Leong, MH Lim, ZA Ahmad Journal of Vibroengineering 20 (7), 2604-2621, 2018 | 65 | 2018 |
Automated valve fault detection based on acoustic emission parameters and support vector machine SM Ali, KH Hui, LM Hee, MS Leong Alexandria engineering journal 57 (1), 491-498, 2018 | 61 | 2018 |
A review of acoustic emission technique for machinery condition monitoring: defects detection & diagnostic SMA Al-Obaidi, MS Leong, RIR Hamzah, AM Abdelrhman Applied Mechanics and Materials 229, 1476-1480, 2012 | 59 | 2012 |
Enhanced frequency domain decomposition algorithm: a review of a recent development for unbiased damping ratio estimates MD A Hasan, ZAB Ahmad, M Salman Leong, LM Hee Journal of Vibroengineering 20 (5), 1919-1936, 2018 | 58 | 2018 |
Condition monitoring of blade in turbomachinery: a review AM Abdelrhman, LM Hee, MS Leong, S Al-Obaidi Advances in Mechanical Engineering 6, 210717, 2014 | 58 | 2014 |
Experimental study on loss factor for corrugated plates by bandwidth method NK Mandal, RA Rahman, MS Leong Ocean Engineering 31 (10), 1313-1323, 2004 | 56 | 2004 |
Low-speed bearing fault diagnosis based on ArSSAE model using acoustic emission and vibration signals SR Saufi, ZAB Ahmad, MS Leong, MH Lim IEEE Access 7, 46885-46897, 2019 | 55 | 2019 |
Differential evolution optimization for resilient stacked sparse autoencoder and its applications on bearing fault diagnosis SR Saufi, ZA bin Ahmad, MS Leong, MH Lim Measurement Science and Technology 29 (12), 125002, 2018 | 41 | 2018 |
An experimental study of cavitation detection in a centrifugal pump using envelope analysis CZ Tan, MS Leong Journal of System Design and Dynamics 2 (1), 274-285, 2008 | 40 | 2008 |
Intelligent wind turbine gearbox diagnosis using VMDEA and ELM MF Isham, MS Leong, MH Lim, ZA Bin Ahmad Wind Energy 22 (6), 813-833, 2019 | 39 | 2019 |
A review of vibration monitoring as a diagnostic tool for turbine blade faults AM Abdelrhman, MS Leong, SAM Saeed, SMAAO Al Obiadi Applied Mechanics and Materials 229, 1459-1463, 2012 | 34 | 2012 |
Detection of early faults in rotating machinery based on wavelet analysis MH Lim, MS Leong Advances in Mechanical Engineering 5, 625863, 2013 | 33 | 2013 |
Definition of engineering asset management: a review MS Somia Alfatih, MS Leong, LM Hee Applied mechanics and materials 773, 794-798, 2015 | 31 | 2015 |