By Professor Zhongxiao Peng

Journal articles

Chin ZY; Smith WA; Borghesani P; Randall RB; Peng Z, 2021, 'Absolute transmission error: A simple new tool for assessing gear wear', Mechanical Systems and Signal Processing, 146, http://dx.doi.org/10.1016/j.ymssp.2020.107070

Fu Y; Fischer J; Pan K; Heng Yeoh G; Peng Z, 2021, 'Underwater sound absorption properties of polydimethylsiloxane/carbon nanotube composites with steel plate backing', Applied Acoustics, 171, http://dx.doi.org/10.1016/j.apacoust.2020.107668

Liu Q; Wu H; Paul MJ; He P; Peng Z; Gludovatz B; Kruzic JJ; Wang CH; Li X, 2020, 'Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms', Acta Materialia, 201, pp. 316 - 328, http://dx.doi.org/10.1016/j.actamat.2020.10.010

Peng Y; Cai J; Wu T; Cao G; Kwok N; Peng Z, 2020, 'WP-DRnet: A novel wear particle detection and recognition network for automatic ferrograph image analysis', Tribology International, 151, http://dx.doi.org/10.1016/j.triboint.2020.106379

Sul J; Peng Z; Kessissoglou N, 2020, 'Implementation of blended learning for a large size engineering mechanics course', Advances in Engineering Education, 8, http://dx.doi.org/10.18260/3-1-1140-36017

Guo J; Randall RB; Borghesani P; Smith WA; Haneef MD; Peng Z, 2020, 'A study on the effects of piston secondary motion in conjunction with clearance joints', Mechanism and Machine Theory, 149, http://dx.doi.org/10.1016/j.mechmachtheory.2020.103824

Dou P; Wu T; Peng Z, 2020, 'A time-domain ultrasonic approach for oil film thickness measurement with improved resolution and range', Measurement Science and Technology, 31, http://dx.doi.org/10.1088/1361-6501/ab7a69

Chang H; Borghesani P; Peng Z, 2020, 'Automated assessment of gear wear mechanism and severity using mould images and convolutional neural networks', Tribology International, 147, http://dx.doi.org/10.1016/j.triboint.2020.106280

Song J; Chen F; Liu Y; Wang S; He X; Liao Z; Mu X; Yang M; Liu W; Peng Z, 2020, 'Insight into the wear particles of PEEK and CFRPEEK against UHMWPE for artificial cervical disc application: Morphology and immunoreaction', Tribology International, 144, http://dx.doi.org/10.1016/j.triboint.2019.106093

Feng P; Borghesani P; Smith WA; Peng Z, 2020, 'Model-based surface roughness estimation using acoustic emission signals', Tribology International, 144, http://dx.doi.org/10.1016/j.triboint.2019.106101

Kabir II; Fu Y; De Souza N; Baena JC; Yuen ACY; Yang W; Mata J; Peng Z; Yeoh GH, 2020, 'PDMS/MWCNT nanocomposite films for underwater sound absorption applications', Journal of Materials Science, 55, pp. 5048 - 5063, http://dx.doi.org/10.1007/s10853-020-04349-4

Feng P; Borghesani P; Smith WA; Randall RB; Peng Z, 2020, 'A Review on the Relationships between Acoustic Emission, Friction and Wear in Mechanical Systems', Applied Mechanics Reviews, 72, http://dx.doi.org/10.1115/1.4044799

Guo J; Gong J; Shi P; Xiao C; Jiang L; Chen L; Qian L, 2020, 'Study on the polishing mechanism of pH-dependent tribochemical removal in CMP of CaF2 crystal', Tribology International, 150, pp. 106370, http://dx.doi.org/10.1016/j.triboint.2020.106370

Smith WA; Borghesani P; Ni Q; Wang K; Peng Z, 2019, 'Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools', Mechanical Systems and Signal Processing, 134, pp. 106303, http://dx.doi.org/10.1016/j.ymssp.2019.106303

Peng Y; Cai J; Wu T; Cao G; Kwok N; Zhou S; Peng Z, 2019, 'A hybrid convolutional neural network for intelligent wear particle classification', Tribology International, 138, pp. 166 - 173, http://dx.doi.org/10.1016/j.triboint.2019.05.029

Feng P; Borghesani P; Chang H; Smith WA; Randall RB; Peng Z, 2019, 'Monitoring gear surface degradation using cyclostationarity of acoustic emission', Mechanical Systems and Signal Processing, 131, pp. 199 - 221, http://dx.doi.org/10.1016/j.ymssp.2019.05.055

Wang M; Peng Z, 2019, '3D characterisation of surface topographies of wear debris collected from human knees for osteoarthritis study', Tribology International, 136, pp. 524 - 532, http://dx.doi.org/10.1016/j.triboint.2019.04.007

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

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