| Rotating machinery prognostics: State of the art, challenges and opportunities A Heng, S Zhang, ACC Tan, J Mathew Mechanical systems and signal processing 23 (3), 724-739, 2009 | 1456 | 2009 |
| A review on prognostic techniques for non-stationary and non-linear rotating systems MS Kan, ACC Tan, J Mathew Mechanical Systems and Signal Processing 62, 1-20, 2015 | 426 | 2015 |
| Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine A Widodo, EY Kim, JD Son, BS Yang, ACC Tan, DS Gu, BK Choi, ... Expert systems with applications 36 (3), 7252-7261, 2009 | 386 | 2009 |
| Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference BS Yang, MS Oh, ACC Tan Expert Systems with Applications 36 (2), 1840-1849, 2009 | 277 | 2009 |
| Intelligent condition-based prediction of machinery reliability A Heng, ACC Tan, J Mathew, N Montgomery, D Banjevic, AKS Jardine Mechanical systems and signal processing 23 (5), 1600-1614, 2009 | 229 | 2009 |
| Dynamic energy absorption characteristics of foam-filled conical tubes under oblique impact loading Z Ahmad, DP Thambiratnam, ACC Tan International Journal of Impact Engineering 37 (5), 475-488, 2010 | 227 | 2010 |
| Condition classification of small reciprocating compressor for refrigerators using artificial neural networks and support vector machines BS Yang, WW Hwang, DJ Kim, AC Tan Mechanical Systems and Signal Processing 19 (2), 371-390, 2005 | 215 | 2005 |
| Bearing fault prognosis based on health state probability estimation HE Kim, ACC Tan, J Mathew, BK Choi Expert Systems with Applications 39 (5), 5200-5213, 2012 | 186 | 2012 |
| Reliable fault diagnosis for low-speed bearings using individually trained support vector machines with kernel discriminative feature analysis M Kang, J Kim, JM Kim, ACC Tan, EY Kim, BK Choi IEEE Transactions on Power Electronics 30 (5), 2786-2797, 2014 | 184 | 2014 |
| Multi-agent decision fusion for motor fault diagnosis G Niu, T Han, BS Yang, ACC Tan Mechanical Systems and Signal Processing 21 (3), 1285-1299, 2007 | 175 | 2007 |
| VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table BS Yang, DS Lim, ACC Tan Expert Systems with Applications 28 (4), 735-742, 2005 | 167 | 2005 |
| Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systems BS Yang, ACC Tan Expert systems with applications 36 (5), 9378-9387, 2009 | 156 | 2009 |
| Case-based reasoning system with Petri nets for induction motor fault diagnosis BS Yang, SK Jeong, YM Oh, ACC Tan Expert Systems with Applications 27 (2), 301-311, 2004 | 135 | 2004 |
| Machine condition prognosis based on regression trees and one-step-ahead prediction BS Yang, MS Oh, ACC Tan Mechanical Systems and Signal Processing 22 (5), 1179-1193, 2008 | 130 | 2008 |
| Condition monitoring of low speed bearings: A comparative study of the ultrasound technique versus vibration measurements EY Kim, ACC Tan, J Mathew, BS Yang Australian Journal of Mechanical Engineering 5 (2), 177-189, 2008 | 119 | 2008 |
| Rolling bearing fault diagnosis with combined convolutional neural networks and support vector machine T Han, L Zhang, Z Yin, ACC Tan Measurement 177, 109022, 2021 | 112 | 2021 |
| Fault feature extraction of low speed roller bearing based on Teager energy operator and CEEMD T Han, Q Liu, L Zhang, ACC Tan Measurement 138, 400-408, 2019 | 90 | 2019 |
| Comparison of the effectiveness of analytical wake models for wind farm with constant and variable hub heights L Wang, ACC Tan, M Cholette, Y Gu Energy Conversion and Management 124, 189-202, 2016 | 71 | 2016 |
| Experimental study on condition monitoring of low speed bearings: time domain analysis EY Kim, ACC Tan, BS Yang, V Kosse Engineers Australia 1, 108-113, 2007 | 68 | 2007 |
| A practical signal processing approach for condition monitoring of low speed machinery using Peak-Hold-Down-Sample algorithm TR Lin, E Kim, ACC Tan Mechanical systems and signal processing 36 (2), 256-270, 2013 | 66 | 2013 |
