A5101968980- Water Quality Monitoring and Analysis
- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Analytical Chemistry and Sensors
- Electrochemical Analysis and Applications
- Fault Detection and Control Systems
- Industrial Vision Systems and Defect Detection
- Mineral Processing and Grinding
- Machine Fault Diagnosis Techniques
- Advanced Control Systems Optimization
- Gas Sensing Nanomaterials and Sensors
- Electrochemical sensors and biosensors
- Rough Sets and Fuzzy Logic
- Advanced Multi-Objective Optimization Algorithms
- Optical Systems and Laser Technology
- Non-Destructive Testing Techniques
- Thermography and Photoacoustic Techniques
- Advanced Memory and Neural Computing
- Analytical chemistry methods development
- Water Quality Monitoring Technologies
- Industrial Technology and Control Systems
- Advanced Algorithms and Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Electrodeposition and Electroless Coatings
- Neural Networks Stability and Synchronization
Central South University
2016-2025
Peng Cheng Laboratory
2020
State Key Laboratory of High Performance Complex Manufacturing
2019
Hunan University of Technology
2012
The growth of data collection in industrial processes has led to a renewed emphasis on the development data-driven soft sensors. A key step building an accurate, reliable sensor is feature representation. Deep networks have shown great ability learn hierarchical features using unsupervised pretraining and supervised fine-tuning. For typical deep like stacked auto-encoder (SAE), stage unsupervised, which some important information related quality variables may be discarded. In this article,...
Zinc electrolysis is one of the key processes in zinc smelting, and maintaining stable operation an important factor ensuring production efficiency product quality. However, poor contact between cathode anode a common problem that leads to reduced damage cell. Therefore, online monitoring status plates crucial for quality efficiency. To address this issue, we propose end-to-end network, Frequency-masked Multimodal Autoencoder (FM-AE). This method takes cell voltage signal infrared image...
In zinc hydrometallurgy, an advanced copper removal process purifies sulfate solution through a series of chemical reactions with recycled underflow by using powder in hydrometallurgy. This paper focuses on the kinetic modeling competitive-consecutive reaction system process, and proposes adaptive parameter optimal selection strategy for different industrial conditions. model, cementation, one reactions, is described surface controlled pseudo-first-order rate equation; cuprous oxide...
The solution purification process is an essential step in zinc hydrometallurgy. performance of directly affects the normal functioning and economical benefits This paper summarizes authors' recent work on modeling, optimization, control process. online measurable property oxidation reduction potential U+0028 ORP U+0029 multiple reactors, running statuses characteristic are extensively utilized this research. absence reliable equipment for detecting impurity ion concentration circumvented by...