A5008114518- Gear and Bearing Dynamics Analysis
- Advanced machining processes and optimization
- Machine Fault Diagnosis Techniques
- Advanced Measurement and Metrology Techniques
- Engineering Technology and Methodologies
- Fault Detection and Control Systems
- Tribology and Lubrication Engineering
- Hydraulic and Pneumatic Systems
- Mechanical Engineering and Vibrations Research
- Engineering Diagnostics and Reliability
- Iterative Learning Control Systems
- Industrial Technology and Control Systems
- Spectroscopy and Chemometric Analyses
- Metallurgy and Material Forming
The University of Texas at Arlington
2022-2024
Accurate and fast fault diagnosis can improve the reliability of drivetrain systems. The model based on convolutional neural networks is tricky because accuracy efficiency depend network parameters, such as layer size number layers. In this paper, we developed a data pre-processing technique to format vibrational be receptible network. First one will study difference in performance by inputting spectrogram compared raw itself. Second, windowizing used its parameters are explored train...
Abstract Optimizing hypoid gear is crucial in modern design to meet the increasing demand for high durability, efficiency, and low noise. The Pareto front used illustrate trade-off between conflicting objectives multi-objective optimization models. However, exploring space challenging due its non-convex nature non-linearity, primarily caused by complex contact behavior. These complexities often result larger computational costs can lead convergence of into a local solution rather than global...
Determination of the diagnosis thresholds is crucial for fault industry assets. Rotor machines under different working conditions are especially challenging because dynamic torque and speed. In this paper, an advanced machine learning based signal-processing innovation termed multivariate state estimation technique proposed to improve accuracy thresholds. A novel preprocessing called vibration resonance spectrometry also applied achieve a low computation cost capability real-time condition...
Abstract Tool profile modification of face-hobbed hypoid gears is widely used to reduce the meshing shock associated with edge contact during heavy load gears. It necessary study effect different amounts and types on gear performance determine optimal settings. This paper presents a mathematical model for tool Then, set parameters designed, tooth surface deviation distribution analyzed based proposed model. Finally, investigated semi-finite element analysis The results show that appropriate...