A5069015593- Metal Extraction and Bioleaching
- Extraction and Separation Processes
- Advanced oxidation water treatment
- Minerals Flotation and Separation Techniques
- Coagulation and Flocculation Studies
- Environmental remediation with nanomaterials
- Machine Fault Diagnosis Techniques
- Recycling and Waste Management Techniques
- Membrane Separation Technologies
- Adsorption and biosorption for pollutant removal
- Gear and Bearing Dynamics Analysis
- Constructed Wetlands for Wastewater Treatment
- Engineering Diagnostics and Reliability
- Pharmaceutical and Antibiotic Environmental Impacts
- Mine drainage and remediation techniques
- Membrane-based Ion Separation Techniques
- Wastewater Treatment and Nitrogen Removal
- Corrosion Behavior and Inhibition
- Advanced Photocatalysis Techniques
- Fault Detection and Control Systems
- Microbial Fuel Cells and Bioremediation
- Arsenic contamination and mitigation
- Wastewater Treatment and Reuse
- Geoscience and Mining Technology
- Industrial Vision Systems and Defect Detection
Zhongkai University of Agriculture and Engineering
2018-2024
Nanjing Forestry University
2021-2023
Guangdong Research Institute of Water Resources and Hydropower
2020
Guangdong University of Technology
2016-2018
Department of Education of Guangdong Province
2016
The goal of the paper is to present a solution improve fault detection accuracy rolling bearings. method based on variational mode decomposition (VMD), multiscale permutation entropy (MPE) and particle swarm optimization-based support vector machine (PSO-SVM). Firstly, original bearing vibration signal decomposed into several intrinsic functions (IMF) by using VMD method, feature energy ratio (FER) criterion introduced reconstruct signal. Secondly, reconstructed calculated construct...
Abstract As a significant component of rotating machinery, the health rolling bearings and gears directly impact normal operation machinery. Traditional single-sensor fault diagnosis approaches often fail to extract sufficient information, resulting in low diagnostic accuracy practical engineering applications. Additionally, conventional multi-sensor fusion methods exhibit robustness noisy environments. To tackle these challenges, this paper presents novel approach derived from data...