By Professor Zhongxiao Peng

Journal articles

Vos K; Peng Z; Lee E; Wang W, 2023, 'Aircraft fleet availability optimisation: A reinforcement learning approach', Aeronautical Journal, 127, pp. 2204 - 2218, http://dx.doi.org/10.1017/aer.2023.104

Wang W; Vos K; Taylor J; Jenkins C; Bala B; Whitehead L; Peng Z, 2023, 'Is deep learning superior to traditional techniques in machine health monitoring applications', Aeronautical Journal, 127, pp. 2105 - 2117, http://dx.doi.org/10.1017/aer.2023.60

Yan T; Wang D; Kong J; Peng Z, 2023, 'Large margin-learning methodology from Time-Frequency maps and its physically interpretable weights for simultaneous Machine health monitoring and fault diagnosis', Mechanical Systems and Signal Processing, 200, http://dx.doi.org/10.1016/j.ymssp.2023.110615

Herwig N; Peng Z; Borghesani P, 2023, 'Bridging the trust gap: Evaluating feature relevance in neural network-based gear wear mechanism analysis with explainable AI', Tribology International, 187, http://dx.doi.org/10.1016/j.triboint.2023.108670

Chin ZY; Borghesani P; Smith WA; Randall RB; Peng Z, 2023, 'Monitoring gear wear with transmission error', Wear, 523, http://dx.doi.org/10.1016/j.wear.2023.204803

Mao Y; Tong J; Chin ZY; Borghesani P; Peng Z, 2023, 'Transmission-error- and vibration-based condition monitoring of gear wear with contaminated lubricant', Wear, 523, http://dx.doi.org/10.1016/j.wear.2023.204760

Mao Y; Borghesani P; Chin ZY; Randall RB; Peng Z, 2023, 'Extraction and use of frequency-domain relationships between time-varying gear meshing properties and diagnostic measurements', Mechanical Systems and Signal Processing, 190, pp. 110129, http://dx.doi.org/10.1016/j.ymssp.2023.110129

Baena JC; Wang C; Fu Y; Kabir II; Yuen ACY; Peng Z; Yeoh GH, 2023, 'A new fabrication method of designed metamaterial based on a 3D-printed structure for underwater sound absorption applications', Applied Acoustics, 203, http://dx.doi.org/10.1016/j.apacoust.2023.109221

Lu R; Borghesani P; Randall RB; Smith WA; Peng Z, 2023, 'Removal of transfer function effects from gear vibration signals under constant and variable speed conditions', Mechanical Systems and Signal Processing, 184, http://dx.doi.org/10.1016/j.ymssp.2022.109714

Randall RB; Smith WA; Borghesani P; Peng Z, 2022, 'A new angle-domain cepstral method for generalised gear diagnostics under constant and variable speed operation', Mechanical Systems and Signal Processing, 178, http://dx.doi.org/10.1016/j.ymssp.2022.109313

Dou P; Zou L; Wu T; Yu M; Reddyhoff T; Peng Z, 2022, 'Simultaneous measurement of thickness and sound velocity of porous coatings based on the ultrasonic complex reflection coefficient', NDT and E International, 131, http://dx.doi.org/10.1016/j.ndteint.2022.102683

Dou P; Zheng P; Jia Y; Wu T; Yu M; Reddyhoff T; Liao WH; Peng Z, 2022, 'Ultrasonic measurement of oil film thickness in a four-layer structure for applications including sliding bearings with a thin coating', NDT and E International, 131, http://dx.doi.org/10.1016/j.ndteint.2022.102684

Borghesani P; Smith WA; Randall RB; Antoni J; El Badaoui M; Peng Z, 2022, 'Bearing signal models and their effect on bearing diagnostics', Mechanical Systems and Signal Processing, 174, pp. 109077, http://dx.doi.org/10.1016/j.ymssp.2022.109077

Dou P; Wu T; Luo Z; Yang P; Peng Z; Yu M; Reddyhoff T, 2022, 'A finite-element-aided ultrasonic method for measuring central oil-film thickness in a roller-raceway tribo-pair', Friction, 10, pp. 944 - 962, http://dx.doi.org/10.1007/s40544-021-0544-y

Vos K; Peng Z; Jenkins C; Shahriar MR; Borghesani P; Wang W; Jenkins C, 2022, 'Vibration-based anomaly detection using LSTM/SVM approaches', Mechanical Systems and Signal Processing, 169, pp. 108752, http://dx.doi.org/10.1016/j.ymssp.2021.108752

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, 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, 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, 165, pp. 108319, 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, 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, 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, 484-485, 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, 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, 160, 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, 181, 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, 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, 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, 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, 150, pp. 107258, 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, 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, 120, pp. 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, 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 - 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

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