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Journal articles

Chang H; Borghesani P; Smith WA; Peng Z, 2019, 'Application of surface replication combined with image analysis to investigate wear evolution on gear teeth – A case study', Wear, 430-431, pp. 355 - 368, http://dx.doi.org/10.1016/j.wear.2019.05.024

Peng D; Smith WA; Borghesani P; Randall RB; Peng Z, 2019, 'Comprehensive planet gear diagnostics: Use of transmission error and mesh phasing to distinguish localised fault types and identify faulty gears', Mechanical Systems and Signal Processing, 127, pp. 531 - 550, http://dx.doi.org/10.1016/j.ymssp.2019.03.024

Peng Y; Cai J; Wu T; Cao G; Kwok N; Zhou S; Peng Z, 2019, 'Online wear characterisation of rolling element bearing using wear particle morphological features', Wear, 430-431, pp. 369 - 375, http://dx.doi.org/10.1016/j.wear.2019.05.005

Wang S; Wu TH; Shao T; Peng ZX, 2019, 'Integrated model of BP neural network and CNN algorithm for automatic wear debris classification', Wear, 426-427, pp. 1761 - 1770, http://dx.doi.org/10.1016/j.wear.2018.12.087

Wu H; Kwok NM; Liu S; Li R; Wu T; Peng Z, 2019, 'Restoration of defocused ferrograph images using a large kernel convolutional neural network', Wear, 426-427, pp. 1740 - 1747, http://dx.doi.org/10.1016/j.wear.2018.12.089

Cao W; Zhang H; Wang N; Wang HW; Peng ZX, 2019, 'The gearbox wears state monitoring and evaluation based on on-line wear debris features', Wear, 426-427, pp. 1719 - 1728, http://dx.doi.org/10.1016/j.wear.2018.12.068

Feng K; Borghesani P; Smith WA; Randall RB; Chin ZY; Ren J; Peng Z, 2019, 'Vibration-based updating of wear prediction for spur gears', Wear, 426-427, pp. 1410 - 1415, http://dx.doi.org/10.1016/j.wear.2019.01.017

Dou P; Wu T; Luo Z; Peng Z; Sarkodie-Gyan T, 2019, 'The application of the principle of wave superposition in ultrasonic measurement of lubricant film thickness', Measurement: Journal of the International Measurement Confederation, 137, pp. 312 - 322, http://dx.doi.org/10.1016/j.measurement.2019.01.057

Peng D; Smith WA; Randall RB; Peng Z, 2019, 'Use of mesh phasing to locate faulty planet gears', Mechanical Systems and Signal Processing, 116, pp. 12 - 24, http://dx.doi.org/10.1016/j.ymssp.2018.06.035

Wu H; Li R; Kwok NM; Peng Y; Wu T; Peng Z, 2019, 'Restoration of low-informative image for robust debris shape measurement in on-line wear debris monitoring', Mechanical Systems and Signal Processing, 114, pp. 539 - 555, http://dx.doi.org/10.1016/j.ymssp.2018.05.032

Borghesani P; Smith WA; Zhang X; Feng P; Antoni J; Peng Z, 2018, 'A new statistical model for acoustic emission signals generated from sliding contact in machine elements', Tribology International, 127, pp. 412 - 419, http://dx.doi.org/10.1016/j.triboint.2018.06.032

Li Z; Jiang Y; Duan Z; Peng Z, 2018, 'A new swarm intelligence optimized multiclass multi-kernel relevant vector machine: An experimental analysis in failure diagnostics of diesel engines', Structural Health Monitoring, 17, pp. 1503 - 1519, http://dx.doi.org/10.1177/1475921717746735

Baena JC; Peng Z, 2018, 'Dispersion state of multi-walled carbon nanotubes in the UHMWPE matrix: Effects on the tribological and mechanical response', Polymer Testing, 71, pp. 125 - 136, http://dx.doi.org/10.1016/j.polymertesting.2018.08.023

Song J; Xiang D; Wang S; Liao Z; Lu J; Liu Y; Liu W; Peng Z, 2018, 'In vitro wear study of PEEK and CFRPEEK against UHMWPE for artificial cervical disc application', Tribology International, 122, pp. 218 - 227, http://dx.doi.org/10.1016/j.triboint.2018.02.034

Cao W; Dong G; Xie YB; Peng Z, 2018, 'Prediction of wear trend of engines via on-line wear debris monitoring', Tribology International, 120, pp. 510 - 519, http://dx.doi.org/10.1016/j.triboint.2018.01.015

Song J; Shi H; Liao Z; Wang S; Liu Y; Liu W; Peng Z, 2018, 'Study on the nanomechanical and nanotribological behaviors of PEEK and CFRPEEK for biomedical applications', Polymers, 10, pp. 142, http://dx.doi.org/10.3390/polym10020142

Li Z; Jiang Y; Guo Q; Hu C; Peng Z, 2018, 'Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations', Renewable Energy, 116, pp. 55 - 73, http://dx.doi.org/10.1016/j.renene.2016.12.013

Zhang C; Peng Z; Chen S; Li Z; Wang J, 2018, 'A gearbox fault diagnosis method based on frequency-modulated empirical mode decomposition and support vector machine', Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 232, pp. 369 - 380, http://dx.doi.org/10.1177/0954406216677102

Song J; Liao Z; Shi H; Xiang D; Liu Y; Liu W; Peng Z, 2017, 'Fretting wear study of PEEK‑based composites for bio‑implant application', Tribology Letters, 65, pp. 150, http://dx.doi.org/10.1007/s11249-017-0931-8

Guo M; Lord MS; Peng Z, 2017, 'Quantitative wear particle analysis for osteoarthritis assessment', Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 231, pp. 1116 - 1126, http://dx.doi.org/10.1177/0954411917735081

Zhang X; Kanapathipillai S; Wu T; Peng Z, 2017, 'Frictional behaviour and friction mechanisms of rolling-sliding contact in mixed EHL', Tribology International, 114, pp. 201 - 207, http://dx.doi.org/10.1016/j.triboint.2017.04.032

Baena JC; Peng Z, 2017, 'Mechanical and tribological performance of UHMWPE influenced by temperature change', Polymer Testing, 62, pp. 102 - 109, http://dx.doi.org/10.1016/j.polymertesting.2017.06.017

Peng Y; Wu T; Wang S; Du Y; Kwok N; Peng Z, 2017, 'A microfluidic device for three-dimensional wear debris imaging in online condition monitoring', Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 231, pp. 965 - 974, http://dx.doi.org/10.1177/1350650116684707

Wu T; Peng Y; Wang S; Chen F; Kwok N; Peng Z, 2017, 'Morphological Feature Extraction Based on Multiview Images for Wear Debris Analysis in On-line Fluid Monitoring', Tribology Transactions, 60, pp. 408 - 418, http://dx.doi.org/10.1080/10402004.2016.1174325

Haneef MD; Randall RB; Smith WA; Peng Z, 2017, 'Vibration and Wear Based Analysis of IC Engine Bearings by Numerical Simulation', Wear, http://dx.doi.org/10.1016/j.wear.2017.04.018

Li Z; Jiang Y; Hu C; Peng Z, 2017, 'Difference equation based empirical mode decomposition with application to separation enhancement of multi-fault vibration signals', Journal of Difference Equations and Applications, 23, pp. 457 - 467, http://dx.doi.org/10.1080/10236198.2016.1254206

Peng Y; Wu T; Cao G; Huang S; Wu H; Kwok N; Peng Z, 2017, 'A hybrid search-tree discriminant technique for multivariate wear debris classification', Wear, 392-393, pp. 152 - 158, http://dx.doi.org/10.1016/j.wear.2017.09.022

Tenison N; Baena JC; Yu J; Peng Z, 2017, 'Development of mixing methods of UHMWPE/carbon nanotubes (CNT) composites for use in artificial joints', Key Engineering Materials, 739 KEM, pp. 81 - 86, http://dx.doi.org/10.4028/www.scientific.net/KEM.739.81

Song J; Liu T; Shi H; Yan S; Liao Z; Liu Y; Liu W; Peng Z, 2017, 'Time-frequency analysis of the tribological behaviors of Ti6Al4V alloy under a dry sliding condition', Journal of Alloys and Compounds, 724, pp. 752 - 762, http://dx.doi.org/10.1016/j.jallcom.2017.07.097

Peng Y; Wu T; Wang S; Peng Z, 2017, 'Wear state identification using dynamic features of wear debris for on-line purpose', Wear, 376-377, pp. 1885 - 1891, http://dx.doi.org/10.1016/j.wear.2017.01.012

Wu H; Kwok NM; Liu S; Wu T; Peng Z, 2016, 'A prototype of on-line extraction and three-dimensional characterisation of wear particle features from video sequence', Wear, 368-369, pp. 314 - 325, http://dx.doi.org/10.1016/j.wear.2016.09.024

Haneef MD; Randall RB; Peng Z, 2016, 'Wear profile prediction of IC engine bearings by dynamic simulation', Wear, 364-365, pp. 84 - 102, http://dx.doi.org/10.1016/j.wear.2016.07.006

Li Z; Peng Z, 2016, 'A new nonlinear blind source separation method with chaos indicators for decoupling diagnosis of hybrid failures: A marine propulsion gearbox case with a large speed variation', Chaos, Solitons and Fractals, 89, pp. 27 - 39, http://dx.doi.org/10.1016/j.chaos.2015.09.023

Li Z; Jiang Y; Hu C; Peng Z, 2016, 'Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: A review', Measurement: Journal of the International Measurement Confederation, 90, pp. 4 - 19, http://dx.doi.org/10.1016/j.measurement.2016.04.036

Smith WA; Fan Z; Peng Z; Li HUAIZHONG; Randall R, 2016, 'Optimised Spectral Kurtosis for bearing diagnostics under electromagnetic interference', Mechanical Systems and Signal Processing, 75, pp. 371 - 394, http://dx.doi.org/10.1016/j.ymssp.2015.12.034

Li Z; Yan X; Wang X; Peng Z, 2016, 'Detection of gear cracks in a complex gearbox of wind turbines using supervised bounded component analysis of vibration signals collected from multi-channel sensors', Journal of Sound and Vibration, 371, pp. 406 - 433, http://dx.doi.org/10.1016/j.jsv.2016.02.021

Li Z; Yan X; Wang X; Peng Z, 2016, 'Detection of gear cracks in a complex gearbox of wind turbines using supervised bounded component analysis of vibration signals collected from multi-channel sensors', Journal of Sound and Vibration, 371, pp. 406 - 433, http://dx.doi.org/10.1016/j.jsv.2016.02.021

Peng Z, 2016, 'On the bi-dimensional variational decomposition applied to nonstationary vibration signals for rolling bearing crack detection in coal cutters', Measurement Science and Technology, 27, http://dx.doi.org/10.1088/0957-0233/27/6/065103

Li Z; Jiang Y; Wang X; Peng Z, 2016, 'Multi-mode separation and nonlinear feature extraction of hybrid gear failures in coal cutters using adaptive nonstationary vibration analysis', Nonlinear Dynamics, 84, pp. 295 - 310, http://dx.doi.org/10.1007/s11071-015-2505-3

Li Z; Peng Z, 2016, 'Nonlinear dynamic response of a multi-degree of freedom gear system dynamic model coupled with tooth surface characters: a case study on coal cutters', Nonlinear Dynamics, 84, pp. 271 - 286, http://dx.doi.org/10.1007/s11071-015-2475-5

Peng Z, 2016, 'The nonlinear dynamics response of cracked gear system in a coal cutter taking environmental multi-frequency excitation forces into consideration', Nonlinear Dynamics, 84, pp. 203 - 222, http://dx.doi.org/10.1007/s11071-015-2409-2

Hu C; Smith WA; Randall RB; Peng Z, 2016, 'Development of a gear vibration indicator and its application in gear wear monitoring', Mechanical Systems and Signal Processing, http://dx.doi.org/10.1016/j.ymssp.2016.01.018

Shen T; Wang D; Yun J; Liu Q; Liu X; Peng Z, 2016, 'Mechanical stability and rheology of lithium-calcium-based grease containing ZDDP', RSC Advances, 6, pp. 11637 - 11647, http://dx.doi.org/10.1039/c5ra20288d

Shen T; Wang D; Yun J; Liu Q; Liu X; Peng Z, 2016, 'Tribological properties and tribochemical analysis of nano-cerium oxide and sulfurized isobutene in titanium complex grease', Tribology International, 93, pp. 332 - 346, http://dx.doi.org/10.1016/j.triboint.2015.09.028

Li Z; Jiang Y; Wang X; Peng Z, 2015, 'Multi-mode separation and nonlinear feature extraction of hybrid gear failures in coal cutters using adaptive nonstationary vibration analysis', Nonlinear Dynamics, pp. 1 - 16, http://dx.doi.org/10.1007/s11071-015-2505-3

Peng Y; Wu T; Wang S; Peng Z, 2015, 'Oxidation wear monitoring based on the color extraction of on-line wear debris', Wear, 332-333, pp. 1151 - 1157, http://dx.doi.org/10.1016/j.wear.2014.12.047

Baena JC; Wu J; Peng Z, 2015, 'Wear performance of UHMWPE and reinforced UHMWPE composites in arthroplasty applications: A review', Lubricants, 3, pp. 413 - 436, http://dx.doi.org/10.3390/lubricants3020413

Wu J; Peng Z, 2015, 'The investigation of nanotribology of UHMWPE in fluid using atomic force microscopy', Journal of Biomedical Materials Research - Part B Applied Biomaterials, 103, pp. 751 - 763, http://dx.doi.org/10.1002/jbm.b.33249

Peng Y; Wu T; Wang S; Kwok N; Peng Z; Wang S, 2015, 'Motion-blurred particle image restoration for on-line wear monitoring', Sensors (Switzerland), 15, pp. 8173 - 8191, http://dx.doi.org/10.3390/s150408173

Peng Z; Baena JC; Wang M, 2015, 'Investigations of micron and submicron wear features of diseased human cartilage surfaces', Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 229, pp. 164 - 174, http://dx.doi.org/10.1177/0954411915572496


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