A5101844015- Innovative concrete reinforcement materials
- Structural Behavior of Reinforced Concrete
- Concrete Corrosion and Durability
- Structural Load-Bearing Analysis
- Industrial Technology and Control Systems
- Concrete and Cement Materials Research
- Geoscience and Mining Technology
- Advanced Battery Technologies Research
- Thermal properties of materials
- Higher Education and Teaching Methods
- Chaos-based Image/Signal Encryption
- Oil and Gas Production Techniques
- Power Systems and Technologies
- Advanced Surface Polishing Techniques
- Machine Fault Diagnosis Techniques
- Advanced Decision-Making Techniques
- Gear and Bearing Dynamics Analysis
- Polymer Nanocomposite Synthesis and Irradiation
- Reliability and Maintenance Optimization
- Structural Engineering and Vibration Analysis
- Structural Response to Dynamic Loads
- Advancements in Battery Materials
- Nuclear and radioactivity studies
- Evaluation and Optimization Models
- Advanced ceramic materials synthesis
Southwest Petroleum University
2007-2024
Hunan University
2022-2023
Wuhan University of Science and Technology
2022
Qingdao University of Technology
2021
Chengdu Technological University
2021
Hunan City University
2014
Chuzhou University
2010
Effective fault diagnosis maximizes economic benefits by ensuring the stability of machinery systems. Detecting faults key components in machinery, such as rolling bearings, at an early stage, helps to avoid accidents optimize maintenance efficiency. It is well known that faulty bearings always deliver a message through their abnormal vibration variation, which can be captured acceleration sensors order facilitate deteriorating status assessment. However, clue for so ambiguous and sometimes...
Electricity is the foundation of entire national economy, and nuclear power has become an important part system with its unique advantages. The main process fuel cycle, including source preparation fuel, plants spent processing. In whole process, safety top priority key to sustainable development power. this paper, aiming at objective reality high security risk strict requirements for storage used in power, based on analysis radiation characteristics monitoring requirements, a embedded...
Abstract Accurate diagnosis of pumping unit working conditions and prompt fault resolution are vital for ensuring safe production in oilfields. In response to the limitations traditional convolutional neural networks diagnosing conditions, a lightweight network is proposed. This addresses challenges shallow networks, which cannot effectively extract indicator diagram features, deep suffer from excessive parameterization high redundancy. Firstly, combination depthwise separable convolution...
Abstract In order to comply with the local economic development and reduce project investment, UHV line projects are mostly along hilly areas, mountainous areas difficult construct. At same time, environment is complex, traffic inconvenient, it for large machinery transport operation site, which makes construction of foundation pile less mechanized, has always relied on manpower small tools. With large-scale power grid construction, problems labor intensity, poor safety low efficiency caused...