| Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review Z Duan, T Wu, S Guo, T Shao, R Malekian, Z Li The International Journal of Advanced Manufacturing Technology 96, 803-819, 2018 | 187 | 2018 |
| A new on-line visual ferrograph TH Wu, JH Mao, JT Wang, JY Wu, YB Xie Tribology transactions 52 (5), 623-631, 2009 | 135 | 2009 |
| Progress and trend of sensor technology for on-line oil monitoring TH Wu, HK Wu, Y Du, ZX Peng Science China Technological Sciences 56, 2914-2926, 2013 | 117 | 2013 |
| Imaged wear debris separation for on-line monitoring using gray level and integrated morphological features T Wu, H Wu, Y Du, N Kwok, Z Peng Wear 316 (1-2), 19-29, 2014 | 108 | 2014 |
| Image enhancement using the averaging histogram equalization (AVHEQ) approach for contrast improvement and brightness preservation SCF Lin, CY Wong, MA Rahman, G Jiang, S Liu, N Kwok, H Shi, YH Yu, ... Computers & Electrical Engineering 46, 356-370, 2015 | 98 | 2015 |
| Histogram equalization and optimal profile compression based approach for colour image enhancement CY Wong, G Jiang, MA Rahman, S Liu, SCF Lin, N Kwok, H Shi, YH Yu, ... Journal of Visual Communication and Image Representation 38, 802-813, 2016 | 97 | 2016 |
| Integrated model of BP neural network and CNN algorithm for automatic wear debris classification S Wang, TH Wu, T Shao, ZX Peng Wear 426, 1761-1770, 2019 | 82 | 2019 |
| Intensity and edge based adaptive unsharp masking filter for color image enhancement SCF Lin, CY Wong, G Jiang, MA Rahman, TR Ren, N Kwok, H Shi, YH Yu, ... Optik 127 (1), 407-414, 2016 | 79 | 2016 |
| Full-life dynamic identification of wear state based on on-line wear debris image features T Wu, Y Peng, H Wu, X Zhang, J Wang Mechanical Systems and Signal Processing 42 (1-2), 404-414, 2014 | 79 | 2014 |
| Image contrast enhancement with brightness preservation using an optimal gamma correction and weighted sum approach G Jiang, CY Wong, SCF Lin, MA Rahman, TR Ren, N Kwok, H Shi, YH Yu, ... Journal of Modern Optics 62 (7), 536-547, 2015 | 66 | 2015 |
| Parameter estimation and remaining useful life prediction of lubricating oil with HMM Y Du, T Wu, V Makis Wear 376, 1227-1233, 2017 | 51 | 2017 |
| Wear state identification using dynamic features of wear debris for on-line purpose Y Peng, T Wu, S Wang, Z Peng Wear 376, 1885-1891, 2017 | 49 | 2017 |
| A hybrid convolutional neural network for intelligent wear particle classification Y Peng, J Cai, T Wu, G Cao, N Kwok, S Zhou, Z Peng Tribology International 138, 166-173, 2019 | 47 | 2019 |
| Effect of carbon nanotubes on friction and wear of a piston ring and cylinder liner system under dry and lubricated conditions Z Zhang, J Liu, T Wu, Y Xie Friction 5, 147-154, 2017 | 47 | 2017 |
| Online wear characterisation of rolling element bearing using wear particle morphological features Y Peng, J Cai, T Wu, G Cao, N Kwok, S Zhou, Z Peng Wear 430, 369-375, 2019 | 46 | 2019 |
| Oxidation wear monitoring based on the color extraction of on-line wear debris Y Peng, T Wu, S Wang, Z Peng Wear 332, 1151-1157, 2015 | 46 | 2015 |
| Watershed-based morphological separation of wear debris chains for on-line ferrograph analysis H Wu, T Wu, Y Peng, Z Peng Tribology Letters 53, 411-420, 2014 | 43 | 2014 |
| WP-DRnet: A novel wear particle detection and recognition network for automatic ferrograph image analysis Y Peng, J Cai, T Wu, G Cao, N Kwok, Z Peng Tribology International 151, 106379, 2020 | 42 | 2020 |
| Description of wear debris from on-line ferrograph images by their statistical color T Wu, J Wang, Y Peng, Y Zhang Tribology Transactions 55 (5), 606-614, 2012 | 39 | 2012 |
| Review of ultrasonic-based technology for oil film thickness measurement in lubrication P Dou, Y Jia, P Zheng, T Wu, M Yu, T Reddyhoff, Z Peng Tribology International 165, 107290, 2022 | 36 | 2022 |
