Wade A. Smith
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Wade A. Smith has a total of 62 co-authors. Here are the top co-authors by number of shared publications:
- Robert Bond Randall
University of New South Wales
20 shared publications - Zhongxiao Peng
School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, Australia
17 shared publications - Nong Zhang
Tongji University
9 shared publications Pietro Borghesani
6 shared publicationsZhongxiao Peng
5 shared publications- Pietro Borghesani
Queensland University of Technology
4 shared publications
Latest Publications
- Open Access
- 6 November 2026
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 262
Advanced techniques for robust gear crack diagnosis under variable speed
- 6 November 2026
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 262
Open AccessAdvanced techniques for robust gear crack diagnosis under variable speed
- 8 October 2026
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 261
Why filter length matters in blind deconvolution for rotating machinery condition monitoring
- 8 October 2026
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 261
Why filter length matters in blind deconvolution for rotating machinery condition monitoring
- Open Access
- 8 September 2026
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 260
Interpretable U-Net RCNN for blind peak detection in vibration spectra
- 8 September 2026
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 260
Open AccessInterpretable U-Net RCNN for blind peak detection in vibration spectra
- 23 June 2026
- Published by Springer Nature
- p. 245-255
Vibration Characteristics of a Two-Stage Gear Rig With a Flexible Coupling Under Parallel Misalignment
- 23 June 2026
- Published by Springer Nature
- p. 245-255
Vibration Characteristics of a Two-Stage Gear Rig With a Flexible Coupling Under Parallel Misalignment
- Open Access
- 2 January 2026
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 245
Optimality of the mean-square value, skewness, kurtosis, and synentropy for detection of weak additive fault signatures in (nearly) Gaussian noise
- 2 January 2026
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 245
Open AccessOptimality of the mean-square value, skewness, kurtosis, and synentropy for detection of weak additive fault signatures in (nearly) Gaussian noise
- 1 January 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Letters
- Vol. 33, 1-5
Least-Squares Interpretation of Minimum Entropy Deconvolution
- 1 January 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Letters
- Vol. 33, 1-5
Least-Squares Interpretation of Minimum Entropy Deconvolution
- Top Cited PapersOpen Access
- 3 June 2025
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 235
Signal processing- and physics-informed neural network for explainable bearing condition monitoring
- 3 June 2025
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 235
Top Cited PapersOpen AccessSignal processing- and physics-informed neural network for explainable bearing condition monitoring
- Open Access
- 12 May 2025
- Published by Intelligence Science and Technology Press Inc. in Journal of Dynamics, Monitoring and Diagnostics
Wear performance and wear monitoring of nylon gears made using conventional and additive manufacturing techniques
Polymer gears are increasingly replacing metal gears in applications with low to medium torque. Traditionally, polymer gears have been manufactured using injection moulding, but additive manufacturing (AM) is becoming increasingly common. Among the different types of polymer gears, nylon gears are particularly popular. However, there is currently very limited understanding of the wear resistance of nylon gears, and of the impact of the manufacturing method on gear wear performance. The aims of this work are (a) to study the wear process of nylon gears made using the conventional injection moulding method and two popularly used AM methods, namely, fused deposition modelling and selective laser sintering, (b) to compare and understand the wear performance by monitoring the evolution of the gear surfaces of the teeth, and (c) to study the effect of wear on the gear dynamics by analysing gearbox vibration signals. This paper presents experimental work, data analysis of the wear processes using moulding and image analysis techniques, as well as the vibration data collected during gear wear tests. It also provides key results and further insights into the wear performance of the tested nylon gears. The information gained in this study is useful for better understanding the degradation process of additively manufactured nylon gears. Conflict of Interest Statement The authors declare no conflicts of interest.
- 12 May 2025
- Published by Intelligence Science and Technology Press Inc. in Journal of Dynamics, Monitoring and Diagnostics
Open AccessWear performance and wear monitoring of nylon gears made using conventional and additive manufacturing techniques
Polymer gears are increasingly replacing metal gears in applications with low to medium torque. Traditionally, polymer gears have been manufactured using injection moulding, but additive manufacturing (AM) is becoming increasingly common. Among the different types of polymer gears, nylon gears are particularly popular. However, there is currently very limited understanding of the wear resistance of nylon gears, and of the impact of the manufacturing method on gear wear performance. The aims of this work are (a) to study the wear process of nylon gears made using the conventional injection moulding method and two popularly used AM methods, namely, fused deposition modelling and selective laser sintering, (b) to compare and understand the wear performance by monitoring the evolution of the gear surfaces of the teeth, and (c) to study the effect of wear on the gear dynamics by analysing gearbox vibration signals. This paper presents experimental work, data analysis of the wear processes using moulding and image analysis techniques, as well as the vibration data collected during gear wear tests. It also provides key results and further insights into the wear performance of the tested nylon gears. The information gained in this study is useful for better understanding the degradation process of additively manufactured nylon gears. Conflict of Interest Statement The authors declare no conflicts of interest.