Select Publications

Book Chapters

Mailey L; Borghesani P; Smith WA; Wang W; Peng Z, 2020, 'A New Approach to Automated Bearing Fault Severity Assessment Using Deep-Learning', in Advances in Asset Management and Condition Monitoring, Springer International Publishing, pp. 1091 - 1104, http://dx.doi.org/10.1007/978-3-030-57745-2_90

Wang M; Peng Z; Watson JA; Watson GS; Morris BN; Rayner BA, 2012, 'Atomic Force Microscopy Investigation on Young’s Modulus of Cartilage for Osteoarthritis Study', in Engineering Asset Management and Infrastructure Sustainability, Springer London, pp. 1019 - 1025, http://dx.doi.org/10.1007/978-0-85729-493-7_79

Tomovich S; Peng Z; Yuan C; Y X, 2011, 'Quantitative Surface Characterisation Using Laser Scanning Confocal Microscopy', in Laser Scanning, Theory and Applications, InTech, http://dx.doi.org/10.5772/15403

Peng ZX; Tomovich S, 2008, 'The Development of a New Image Acquisition & Analysis System for 3D Surface Measurements Using Confocal Laser Scanning Microscopy', in Frontiers in Materials Science and Technology, Trans Tech Publications Ltd., pp. 173 - 179, http://dx.doi.org/10.4028/0-87849-475-8.173

Journal articles

Zhang H; Borghesani P; Randall RB; Peng Z, 2022, 'A benchmark of measurement approaches to track the natural evolution of spall severity in rolling element bearings', Mechanical Systems and Signal Processing, vol. 166, http://dx.doi.org/10.1016/j.ymssp.2021.108466

Lu R; Shahriar MR; Borghesani P; Randall RB; Peng Z, 2022, 'Removal of transfer function effects from transmission error measurements using cepstrum-based operational modal analysis', Mechanical Systems and Signal Processing, vol. 165, http://dx.doi.org/10.1016/j.ymssp.2021.108324

Feng K; Smith WA; Randall RB; Wu H; Peng Z, 2022, 'Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process', Mechanical Systems and Signal Processing, vol. 165, http://dx.doi.org/10.1016/j.ymssp.2021.108319

Shi J; Peng D; Peng Z; Zhang Z; Goebel K; Wu D, 2022, 'Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks', Mechanical Systems and Signal Processing, vol. 162, http://dx.doi.org/10.1016/j.ymssp.2021.107996

Dou P; Jia Y; Zheng P; Wu T; Yu M; Reddyhoff T; Peng Z, 2022, 'Review of ultrasonic-based technology for oil film thickness measurement in lubrication', Tribology International, vol. 165, http://dx.doi.org/10.1016/j.triboint.2021.107290

Chang H; Borghesani P; Peng Z, 2021, 'Investigation on the relationship between macropits and wear particles in a gear fatigue process', Wear, vol. 484-485, pp. 203724 - 203724, http://dx.doi.org/10.1016/j.wear.2021.203724

Peng D; Smith WA; Randall RB; Peng Z; Mechefske CK, 2021, 'Speed estimation in planetary gearboxes: A method for reducing impulsive noise', Mechanical Systems and Signal Processing, vol. 159, http://dx.doi.org/10.1016/j.ymssp.2021.107786

Feng P; Borghesani P; Smith WA; Peng Z, 2021, 'Corrigendum to “Model-based surface roughness estimation using acoustic emission signals” [Tribol Int 144 (2020) 1–13] (Tribology International (2020) 144, (S0301679X19306152), (10.1016/j.triboint.2019.106101))', Tribology International, vol. 160, pp. 107012 - 107012, http://dx.doi.org/10.1016/j.triboint.2021.107012

Peng Y; Wu Z; Cao G; Wang S; Wu H; Liu C; Peng Z, 2021, 'Three-dimensional reconstruction of wear particles by multi-view contour fitting and dense point-cloud interpolation', Measurement: Journal of the International Measurement Confederation, vol. 181, pp. 109638 - 109638, http://dx.doi.org/10.1016/j.measurement.2021.109638

Dou P; Jia Y; Wu T; Peng Z; Yu M; Reddyhoff T, 2021, 'High-accuracy incident signal reconstruction for in-situ ultrasonic measurement of oil film thickness', Mechanical Systems and Signal Processing, vol. 156, http://dx.doi.org/10.1016/j.ymssp.2021.107669

Fu Y; Kabir II; Yeoh GH; Peng Z, 2021, 'A review on polymer-based materials for underwater sound absorption', Polymer Testing, vol. 96, http://dx.doi.org/10.1016/j.polymertesting.2021.107115

Zhang H; Borghesani P; Smith WA; Randall RB; Shahriar MR; Peng Z, 2021, 'Tracking the natural evolution of bearing spall size using cyclic natural frequency perturbations in vibration signals', Mechanical Systems and Signal Processing, vol. 151, http://dx.doi.org/10.1016/j.ymssp.2020.107376

Feng K; Smith WA; Borghesani P; Randall RB; Peng Z, 2021, 'Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution', Mechanical Systems and Signal Processing, vol. 150, http://dx.doi.org/10.1016/j.ymssp.2020.107258

Wang S; Wu T; Wang K; Peng Z; Kwok N; Sarkodie-Gyan T, 2021, '3-D Particle Surface Reconstruction from Multiview 2-D Images with Structure from Motion and Shape from Shading (January 2020)', IEEE Transactions on Industrial Electronics, vol. 68, pp. 1626 - 1635, http://dx.doi.org/10.1109/TIE.2020.2970681

Feng K; Smith WA; Peng Z, 2021, 'Use of an improved vibration-based updating methodology for gear wear prediction', Engineering Failure Analysis, vol. 120, pp. 105066 - 105066, http://dx.doi.org/10.1016/j.engfailanal.2020.105066

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, vol. 146, pp. 107070 - 107070, 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 150, pp. 106370 - 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, vol. 134, 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 122, pp. 218 - 227, http://dx.doi.org/10.1016/j.triboint.2018.02.034


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