A5011801017- Risk and Safety Analysis
- Fault Detection and Control Systems
- Advanced Data Processing Techniques
- Nuclear Engineering Thermal-Hydraulics
- Combustion and flame dynamics
- Nuclear reactor physics and engineering
- Advanced Combustion Engine Technologies
- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Hydrocarbon exploration and reservoir analysis
- Energy Load and Power Forecasting
- Advanced Computational Techniques and Applications
- Nuclear and radioactivity studies
- Radioactivity and Radon Measurements
- Geoscience and Mining Technology
- Low-power high-performance VLSI design
- Structural Integrity and Reliability Analysis
- Hydrological Forecasting Using AI
- Higher Education and Teaching Methods
- Conducting polymers and applications
- Customer churn and segmentation
- Urban Transport and Accessibility
- Reliability and Maintenance Optimization
- Radiative Heat Transfer Studies
- Electricity Theft Detection Techniques
Harbin Institute of Technology
2020-2024
Tsinghua University
2015-2024
Shenzhen Urban Transport Planning Center Co.
2021
Ministry of Education of the People's Republic of China
2018-2020
Key Laboratory of Nuclear Radiation and Nuclear Energy Technology
2019
China Electric Power Research Institute
2017
North China Electric Power University
2017
Guangdong Polytechnic Normal University
2017
Harbin Engineering University
2015
Yunnan Earthquake Prevention and Disaster Reduction
1998-2012
Abstract Epidermal electronics have been attracting considerable attention due to their various potential applications in human‐computer interaction and health monitoring. However, because of the lack a self‐adhesive stable interconnect method between epidermal electronic sensors rigid circuit boards, there remain difficulties detecting body signals accurately by daily life. Here, 3D helical on‐skin is first introduced for sensors. Inspired structure accordion lantern, composed two...
Imaging subsurface structure and monitoring related temporal variations are two of the main tasks for modern seismology. With accumulation seismic data, clearer pictures Earth's interior being achieved. However, precise subtle changes associated with tectonic events remains tricky is subject to high‐performance repeatable sources. Although many observations have been reported on velocity in fault zones volcanic areas, change measurements based passive sources, such as earthquakes ambient...
When nuclear power plants (NPPs) are in a state of failure, they may release radioactive material into the environment. The safety NPPs must thus be maintained at high standard. Online monitoring and fault detection diagnosis (FDD) important helping NPP operators understand system provide online guidance timely manner. Here, to mitigate shortcomings process NPPs, five-level threshold, qualitative trend analysis (QTA), signed directed graph (SDG) inference combined improve veracity...
RC-based frequency references can achieve medium inaccuracy (~1000ppm) with small chip area [1–6], and so potentially replace bulky crystal- or MEMS-based in cost-sensitive IoT applications. However, due to the large nonlinear temperature dependence of on-chip resistors, achieving lower requires complex compensation schemes, thus increasing [1–4]. A further challenge is their long-term drift. Recently, it has been shown that P-type polysilicon (P-poly) which are widely used because low...
Nuclear emergency preparedness and response is an essential part to ensure the safety of nuclear power plant (NPP). Key support technologies decision-making usually consist accident diagnosis, source term estimation, consequence assessment, protective action recommendation. Source estimation almost most difficult among them. For example, bad communication, incomplete information, as well complicated scenario make it hard determine reactor status estimate timely in Fukushima accident....
It is of great significance for load monitoring to monitor illegal use electricity. Load can provide supervision government and improve residents' awareness safety. Compared with the intrusive monitoring, non-intrusive has advantages good economy, high reliability, quickly realizing electricity decomposition. Many scholars have carried out this research, but there still exists problems: it difficult obtain key information from big data diagnostic results are inaccuracy. Therefore, conducted...
Tourism networks are an important research part of tourism geography. Despite the significance transportation in shaping networks, current studies have mainly focused on “daily behavior” urban travel at expense travel, which has been regarded as “exceptional behavior”. To fill this gap, study proposes a framework for exploring spatial and temporal characteristics by taxi. We chose Shenzhen, densely populated mega-city China with abundant resources, case study. First, we extracted tourist...
A fault diagnosis can quickly and accurately diagnose the cause of a fault. Focusing on characteristics nuclear power plants (NPPs), this study proposes distributed method based back propagation (BP) neural network decision tree reasoning. First, was carried out using BP reasoning, then global fusion performed by fusing resulting information. Second, key technologies sample construction were studied. Finally, simulation results show that proposed system is highly reliable has strong...
When nuclear power plant (NPPs) is in fault, it may release radioactivity into the environment. Therefore, extremely high safety standards specification are required during its working. So critically important for fault detection and diagnosis (FDD). NPPs composed of large complex systems, great significance to obtain up-to-date information NPPs’ running state. FDD used provide state system accurately timely NPPs. Signed directed graph (SDG) can show relationship between parameters has...
One of the most widely used methods to estimate core damage during a nuclear power plant accident is containment radiation measurement. The evolution severe accidents extremely complex, leading uncertainty in dose rate (CDR). Therefore, it difficult accurately determine damage. This study proposes conduct analysis CDR for assessment. First, based on source term estimation, Monte Carlo (MC) and point-kernel integration were probability density function under different extents scenarios with...
This paper was removed at the author’s request on December 9, 2024.
Purpose The purpose of this study is to explore the relationship between big data and supply chain platform in China’s retail industry. With emergence resources technologies, business pattern new advocates combination online offline channels. Supply plays a key role implementation activities, which has gradually become research hotspot cross field operations management information system. Design/methodology/approach Through method literature review case study, empirically explores how shapes...
Source term estimation is one of the key steps for nuclear emergency decision-making, and it usually most significant uncertainty difficulty than other steps. As revealed by Fukushima accident, we are so difficult to know what had exactly happened reactors due widespread unavailability instrumental indications power supply. a matter course, this dilemma leads hard decision-making about timely actions response based on unconfident understanding reactors’ status radioactive releases...
Abstract When nuclear power plants (NPPs) are in failure state, it may release radioactive substance into the environment. Thus, safety of NPPs is put forward a high standard. Fault detection and diagnosis (FDD) significant for to help operator timely know state system provide online guidance. can improve plants, but current fault methods pay too much attention accuracy diagnostic results. As complex industrial system, how explain causes faults becomes more important. Although there many...
Abstract Fault detection and diagnosis (FDD) provides safety alarms diagnostic functions for a nuclear power plant (NPP), which comprises large complex systems. NPP has number of parameters make it difficult achieve FDD. Now many methods have lack better explanation faults quantitative analysis. Therefore, to overcome the “black box” FDD based on data-driven methods, this paper adopts signed directed graph (SDG) in knowledge It can express cause effect accidents through maps. At same time,...