Zhongxiao Peng
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View article: Editorial for Special Issue on Biotribology and Biointerfaces
Editorial for Special Issue on Biotribology and Biointerfaces Open
View article: The Practical Predicament and Optimization Paths for Cultivating Artificial Intelligence Education Literacy of Pre-service Teachers
The Practical Predicament and Optimization Paths for Cultivating Artificial Intelligence Education Literacy of Pre-service Teachers Open
View article: Microbial community succession during tobacco fermentation reveals a flavor-improving mechanism
Microbial community succession during tobacco fermentation reveals a flavor-improving mechanism Open
Introduction Flue-cured tobacco (FCT) requires fermentation to increase quality, with microorganisms playing a key role. However, microbial succession and functions during long-term fermentation remain unclear. Artificial microbial ferment…
View article: Flow Field Optimization for Enhanced SCR Denitrification: A Numerical Study of the Chizhou Power Plant Retrofit
Flow Field Optimization for Enhanced SCR Denitrification: A Numerical Study of the Chizhou Power Plant Retrofit Open
Denitrification technology in thermal power plants plays a critical role in reducing nitrogen oxide (NOx) emissions, thereby improving air quality and mitigating climate change. This study conducts a numerical simulation of the SCR (Select…
View article: Soil pH Determining the Assembly Processes of Abundant and Rare Bacterial Communities in Response to Cultivation Modes in Lemon Farmlands
Soil pH Determining the Assembly Processes of Abundant and Rare Bacterial Communities in Response to Cultivation Modes in Lemon Farmlands Open
Here, the biogeographic patterns of abundant and rare bacterial taxa in lemon farmlands with different cultivation modes were examined using the dataset obtained from high-throughput sequencing. The abundant sub-communities exhibited a low…
View article: Fundamental Study of the Wear Behaviors of Additively Manufactured Stainless-Steel Disks Using a Pin-on-Disk Machine
Fundamental Study of the Wear Behaviors of Additively Manufactured Stainless-Steel Disks Using a Pin-on-Disk Machine Open
Additive manufacturing (AM) offers high design freedom, energy efficiency, reduced material waste, and excellent product performance, driving its rapid development in recent decades. AM has expanded material options in manufacturing and is…
View article: Signal processing- and physics-informed neural network for explainable bearing condition monitoring
Signal processing- and physics-informed neural network for explainable bearing condition monitoring Open
View article: Wear performance and wear monitoring of nylon gears made using conventional and additive manufacturing techniques
Wear performance and wear monitoring of nylon gears made using conventional and additive manufacturing techniques Open
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. …
View article: Empowering Innovation Ability Cultivation Through PBL: Mechanism and Practice - A Case of the Modern Educational Technology Curriculum Reform
Empowering Innovation Ability Cultivation Through PBL: Mechanism and Practice - A Case of the Modern Educational Technology Curriculum Reform Open
View article: Wear study of additively manufactured 316L stainless steel gears
Wear study of additively manufactured 316L stainless steel gears Open
View article: Optimized Kalman filter techniques for ultrasonic flow measurement
Optimized Kalman filter techniques for ultrasonic flow measurement Open
Traditional mechanical water meters have gradually failed to meet the needs of modern society due to low accuracy, high maintenance costs, poor durability, and lack of digital management capabilities. In order to improve the measurement ac…
View article: Method for locating secondary circuit faults in substations based on graph neural networks
Method for locating secondary circuit faults in substations based on graph neural networks Open
To improve the accuracy and portability of fault location in secondary circuits of smart substations, a fault location method for secondary circuits based on graph neural networks is proposed. First, a fault analysis of the secondary circu…
View article: Cepstral operational modal analysis for multiple-input systems based on the real cyclic cepstrum
Cepstral operational modal analysis for multiple-input systems based on the real cyclic cepstrum Open
International audience
View article: High-speed bearing diagnostics: Observations from the Surveillance 8 Safran contest data
High-speed bearing diagnostics: Observations from the Surveillance 8 Safran contest data Open
International audience
View article: Effects of Cultivation Modes on Soil Protistan Communities and its Associations with Production Quality in Lemon Farmlands
Effects of Cultivation Modes on Soil Protistan Communities and its Associations with Production Quality in Lemon Farmlands Open
View article: Is deep learning superior to traditional techniques in machine health monitoring applications
Is deep learning superior to traditional techniques in machine health monitoring applications Open
In recent years, there has been significant momentum in applying deep learning (DL) to machine health monitoring (MHM). It has been widely claimed that DL methodologies are superior to more traditional techniques in this area. This paper a…
View article: Extraction and use of frequency-domain relationships between time-varying gear meshing properties and diagnostic measurements
Extraction and use of frequency-domain relationships between time-varying gear meshing properties and diagnostic measurements Open
In gears, the key diagnostic information is carried in the gearmesh stiffness and geometric profile errors. These two key gear meshing properties combine nonlinearly with rotations and displacements of the gear shafts to produce a time-var…
View article: Bearing signal models and their effect on bearing diagnostics
Bearing signal models and their effect on bearing diagnostics Open
View article: A Machine-Learning Assisted Optimization Approach and Microstructure Characterization Method for Laser Powder Bed Fusion
A Machine-Learning Assisted Optimization Approach and Microstructure Characterization Method for Laser Powder Bed Fusion Open
Laser powder bed fusion (LPBF) technique, as one of the most popular metal additive manufacturing (AM) techniques, has been employed for various materials fabrication due to its excellent advantages (e.g., freedom of design) compared to th…
View article: Vibration-based anomaly detection using LSTM/SVM approaches
Vibration-based anomaly detection using LSTM/SVM approaches Open
View article: A finite-element-aided ultrasonic method for measuring central oil-film thickness in a roller-raceway tribo-pair
A finite-element-aided ultrasonic method for measuring central oil-film thickness in a roller-raceway tribo-pair Open
Roller bearings support heavy loads by riding on an ultra-thin oil film (between the roller and raceway), the thickness of which is critical as it reflects the lubrication performance. Ultrasonic interfacial reflection, which facilitates t…
View article: Bearing run-to-failure datasets of UNSW
Bearing run-to-failure datasets of UNSW Open
The run-to-failure experiments data were collected at the University of New South Wales in 2019-2020, regarding the development of bearing fault severity assessment methods. The following journal paper [1] contains the description of the e…
View article: Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process
Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process Open
View article: A review on polymer-based materials for underwater sound absorption
A review on polymer-based materials for underwater sound absorption Open
View article: Gear wear run-to-failure dataset
Gear wear run-to-failure dataset Open
This run-to-failure test (with and without lubrication) was conducted on the spur gearbox test rig at the University of New South Wales. The vibration signals were acquired regularly, at a 100 kHz sampling frequency and for a duration of 1…
View article: Use of an improved vibration-based updating methodology for gear wear prediction
Use of an improved vibration-based updating methodology for gear wear prediction Open
View article: Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms
Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms Open
View article: Machine-Learning Assisted Laser Powder Bed Fusion Process Optimization for AlSi10mg: New Microstructure Description Indices and Fracture Mechanisms
Machine-Learning Assisted Laser Powder Bed Fusion Process Optimization for AlSi10mg: New Microstructure Description Indices and Fracture Mechanisms Open
View article: Implementation Of Blended Learning For A Large Size Engineering Mechanics Course
Implementation Of Blended Learning For A Large Size Engineering Mechanics Course Open
Engineering mechanics is a core course for mechanical engineering university students.In recent years, the lecturers of a second-year undergraduate engineering mechanics course faced many new challenges arising from ever-increasing class s…
View article: Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools
Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools Open