By Associate Professor Pietro Borghesani

Books

Mathew J; Lim CW; Ma L; Sands D; Cholette ME; Borghesani P, 2019, Preface

Mathew J; Lim CW; Ma L; Sands D; Cholette ME; Borghesani P, 2019, Preface

Book Chapters

Randall RB; Antoni J; Borghesani P, 2022, 'Applied Digital Signal Processing', in Handbook of Experimental Structural Dynamics: With 667 Figures and 70 Tables, pp. 149 - 228, http://dx.doi.org/10.1007/978-1-4614-4547-0_6

Randall RB; Antoni J; Borghesani P, 2022, 'Applied Digital Signal Processing', in Handbook of Experimental Structural Dynamics, Springer New York, pp. 1 - 81, http://dx.doi.org/10.1007/978-1-4939-6503-8_6-2

Zohora F; Holmes D; Borghesani P; Cholette M; Gu Y, 2021, 'Study of Acoustic Emission Response to Vortex Shedding of a Bluff Body', in Springer Proceedings in Physics, Springer Singapore, pp. 465 - 474, http://dx.doi.org/10.1007/978-981-15-9837-1_41

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

Randall RB; Antoni J; Borghesani P, 2020, 'Applied Digital Signal Processing', in Handbook of Experimental Structural Dynamics, Springer New York, pp. 1 - 81, http://dx.doi.org/10.1007/978-1-4939-6503-8_6-1

Mathew J; Lim CW; Ma L; Sands D; Cholette ME; Borghesani P, 2019, 'Preface', in ASSET INTELLIGENCE THROUGH INTEGRATION AND INTEROPERABILITY AND CONTEMPORARY VIBRATION ENGINEERING TECHNOLOGIES, pp. v - xii

Truong Ba H; Cholette ME; Borghesani P; Ma L, 2018, 'Opportunistic maintenance for wind turbines considering external opportunities – A case study', in Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing, Springer, pp. 211 - 226, http://dx.doi.org/10.1007/978-3-319-89563-5_16

Journal articles

Zhang H; Chin ZY; Borghesani P; Pitt J; Cholette ME, 2024, 'Evaluation of onboard sensors for track geometry monitoring against conventional track recording measurements', Measurement: Journal of the International Measurement Confederation, 229, http://dx.doi.org/10.1016/j.measurement.2024.114354

Borghesani P; Herwig N; Antoni J; Wang W, 2023, 'A Fourier-based explanation of 1D-CNNs for machine condition monitoring applications', Mechanical Systems and Signal Processing, 205, http://dx.doi.org/10.1016/j.ymssp.2023.110865

Herwig N; Borghesani P, 2023, 'Explaining deep neural networks processing raw diagnostic signals', Mechanical Systems and Signal Processing, 200, http://dx.doi.org/10.1016/j.ymssp.2023.110584

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

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

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

Chin ZY; Borghesani P; Mao Y; Smith WA; Randall RB, 2022, 'Use of transmission error for a quantitative estimation of root-crack severity in gears', Mechanical Systems and Signal Processing, 171, http://dx.doi.org/10.1016/j.ymssp.2022.108957

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

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

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

Truong-Ba H; Cholette ME; Borghesani P; Ma L; Kent G, 2021, 'Condition-based inspection policies for boiler heat exchangers', European Journal of Operational Research, 291, pp. 232 - 243, http://dx.doi.org/10.1016/j.ejor.2020.09.030

Jafari M; Verma P; Zare A; Borghesani P; Bodisco TA; Ristovski ZD; Brown RJ, 2021, 'In-cylinder pressure reconstruction by engine acoustic emission', Mechanical Systems and Signal Processing, 152, http://dx.doi.org/10.1016/j.ymssp.2020.107490

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

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

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

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

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

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

Truong-Ba H; Borghesani P; Cholette ME; Ma L, 2020, 'Optimization of condition-based maintenance considering partial opportunities', Quality and Reliability Engineering International, 36, pp. 529 - 546, http://dx.doi.org/10.1002/qre.2585

Jafari M; Verma P; Bodisco TA; Zare A; Surawski NC; Borghesani P; Stevanovic S; Guo Y; Alroe J; Osuagwu C; Milic A; Miljevic B; Ristovski ZD; Brown RJ, 2019, 'Multivariate analysis of performance and emission parameters in a diesel engine using biodiesel and oxygenated additive', Energy Conversion and Management, 201, http://dx.doi.org/10.1016/j.enconman.2019.112183

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

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

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

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

Cholette ME; Yu H; Borghesani P; Ma L; Kent G, 2019, 'Degradation modeling and condition-based maintenance of boiler heat exchangers using gamma processes', Reliability Engineering and System Safety, 183, pp. 184 - 196, http://dx.doi.org/10.1016/j.ress.2018.11.023

Antoni J; Borghesani P, 2019, 'A statistical methodology for the design of condition indicators', Mechanical Systems and Signal Processing, 114, pp. 290 - 327, http://dx.doi.org/10.1016/j.ymssp.2018.05.012

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

Borghesani P; Antoni J, 2018, 'A faster algorithm for the calculation of the fast spectral correlation', Mechanical Systems and Signal Processing, 111, pp. 113 - 118, http://dx.doi.org/10.1016/j.ymssp.2018.03.059

Picotti G; Borghesani P; Manzolini G; Cholette ME; Wang R, 2018, 'Development and experimental validation of a physical model for the soiling of mirrors for CSP industry applications', Solar Energy, 173, pp. 1287 - 1305, http://dx.doi.org/10.1016/j.solener.2018.08.066

Shahriar MR; Borghesani P; Tan ACC, 2018, 'Electrical Signature Analysis-Based Detection of External Bearing Faults in Electromechanical Drivetrains', IEEE Transactions on Industrial Electronics, 65, pp. 5941 - 5950, http://dx.doi.org/10.1109/TIE.2017.2782240

Yu H; Borghesani P; Cholette ME; Kent GA; Ma L; Burke BJ, 2018, 'Development of condition-based maintenance for sugar mill assets', International Sugar Journal, 120

Shahriar MR; Borghesani P; Ledwich G; Tan ACC, 2018, 'Performance analysis of electrical signature analysis-based diagnostics using an electromechanical model of wind turbine', Renewable Energy, 116, pp. 15 - 41, http://dx.doi.org/10.1016/j.renene.2017.04.006

Picotti G; Borghesani P; Cholette ME; Manzolini G, 2018, 'Soiling of solar collectors – Modelling approaches for airborne dust and its interactions with surfaces', Renewable and Sustainable Energy Reviews, 81, pp. 2343 - 2357, http://dx.doi.org/10.1016/j.rser.2017.06.043

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