A5100610410- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Reliability and Maintenance Optimization
- Advanced Battery Materials and Technologies
- Fault Detection and Control Systems
- Hydraulic Fracturing and Reservoir Analysis
- Nanowire Synthesis and Applications
- Energy Load and Power Forecasting
- Extracellular vesicles in disease
- Hybrid Renewable Energy Systems
- Ferroelectric and Negative Capacitance Devices
- Traffic Prediction and Management Techniques
- Power Systems and Renewable Energy
- Machine Fault Diagnosis Techniques
- Power Transformer Diagnostics and Insulation
- Advanced Decision-Making Techniques
- Image Processing Techniques and Applications
- Engineering Diagnostics and Reliability
- Supercapacitor Materials and Fabrication
- Advanced Sensor and Energy Harvesting Materials
- Hydrocarbon exploration and reservoir analysis
- Reservoir Engineering and Simulation Methods
- Age of Information Optimization
- Smart Grid and Power Systems
- Electric Vehicles and Infrastructure
State Key Laboratory of Industrial Control Technology
2022-2025
University of Science and Technology of China
2025
Northeast Electric Power University
2015-2024
Shanghai Jiao Tong University
2023
Zhejiang University
2023
China National Petroleum Corporation (China)
2021
Northeast Petroleum University
2017
Remaining useful life (RUL) is one of the essential ingredients in battery management system. However, due to characteristic dynamic and time-varying electrochemical system with nonlinear complicated internal mechanisms, uncertainty RUL estimation has been expanded, it difficult give an accurate time reach end life. This article proposes Bayesian mixture neural network (BMNN), a probabilistic deep learning method, obtain more prediction provide estimation, while quasi-Gramian angular field...
Mechanical faults of high voltage circuit breakers (HVCBs) are one the most important factors that affect reliability power system operation. Because limitation a lack samples each fault type; some conditions can be recognized as normal condition. The diagnosis results HVCBs seriously operation entire system. In order to improve accuracy HVCBs; method for mechanical based on wavelet time-frequency entropy (WTFE) and one-class support vector machine (OCSVM) is proposed. this method;...
In a microgrid, the distributed generators (DG) can power user loads directly. As result, quality (PQ) events are more likely to affect users. This paper proposes Multiresolution Generalized S-transform (MGST) approach improve ability of analyzing and monitoring in microgrid. Firstly, time-frequency distribution characteristics different types disturbances analyzed. Based on characteristics, frequency domain is segmented into three areas. After that, width factor window function set MGST has...
In stem cell therapies, small extracellular vesicles (sEVs) are extremely limited in application due to their production. Here, we propose a new concept of "cellular self-stimulation" and develop cost-effective method for the preparation sEVs, which enables conversion cellular traction self-generated stimulation through piezoionic hydrogels enhances ability cells secrete sEVs by more than an order magnitude. The adherent leads deformation substrate, turn translates into millivolt-level...
Considering the complex reservoir conditions and rapid changes in lithological facies, it is difficult to predict channel distributions Heidimiao oil layer X pilot area of Daqing oilfield. To address this problem, a model for fluvial prediction under geological established by combining gray relational analysis (GRA) support vector machine (SVM). Attribute selection firstly processed based on 2D forward modeling. A predictive main GRA SVM methods then built using selected attributes as...
In the era of Internet Things and artificial intelligence, edge devices require low power consumption, realtime, hardware cost to address various information processing tasks corresponding recognition, classification, learning algorithm models. The compute-in-memory (CiM) architecture reduces energy consumption performance loss caused by data movement integrating computing units into storage has potential solve "memory wall" problem Von Neumann architecture, making it a promising direction....
Abstract The acoustic emission testing standards ASTM E1930, BS EN 15856, JB/T 10764 and Q/SY GD 0211 for atmospheric storage tank are compared analysed. Combined with production practice, the revision direction reference suggestions of were proposed.