- Gear and Bearing Dynamics Analysis
- Machine Fault Diagnosis Techniques
- Face recognition and analysis
- Aquatic Ecosystems and Phytoplankton Dynamics
- Fault Detection and Control Systems
- Water Quality Monitoring and Analysis
- Marine and coastal ecosystems
- Engineering Diagnostics and Reliability
- Hydrological Forecasting Using AI
- Water Quality and Pollution Assessment
- Water Quality Monitoring Technologies
- 3D Shape Modeling and Analysis
- Digital Imaging in Medicine
Guangdong Province Environmental Monitoring Center
2023-2024
Lanzhou University of Technology
2020
ABSTRACT The water quality of drinking reservoirs directly impacts the supply safety for urban residents. This study focuses on Da Jing Shan Reservoir, a crucial source Zhuhai City and Macau Special Administrative Region. aim is to establish prediction model reservoirs, which can serve as vital reference plants when formulating their plans. In this research, after smoothing data using Hodrick-Prescott filter, we utilized long short-term memory (LSTM) network create Reservoir. Simulation...
The bearing state signal collected by the vibration sensor contains a large amount of environmental noise in actual processes, which leads to reduction accuracy convolutional network identifying faults. To solve this problem, one-dimensional neural with multiscale kernel (MSK-1DCNN) is proposed for classification information enhancement input. A two-layer convolution structure (MSK) used at front network. MSK has five kernels different sizes, and those are extract features varying...
In recent years, intelligent fault diagnosis algorithms using deep learning method have achieved much success. However, the signals collected by sensors contain a lot of noise, which will great impact on accuracy diagnostic model. To address this problem, we propose one-dimensional convolutional neural network with multi-scale kernels (MSK-1DCNN) and apply to bearing diagnosis. We use convolution structure extract different features in original signal, ELU activation function instead ReLU...