A5101826555- Power Systems Fault Detection
- Electrical Fault Detection and Protection
- Power Transformer Diagnostics and Insulation
- Power Quality and Harmonics
- Membrane Separation and Gas Transport
- Machine Fault Diagnosis Techniques
- Membrane Separation Technologies
- Islanding Detection in Power Systems
- Smart Grid and Power Systems
- Graphene research and applications
- High voltage insulation and dielectric phenomena
- Power System Reliability and Maintenance
- Lightning and Electromagnetic Phenomena
- Fuel Cells and Related Materials
- Fire Detection and Safety Systems
- Dental Implant Techniques and Outcomes
- Laser-induced spectroscopy and plasma
- Recycling and utilization of industrial and municipal waste in materials production
- Molten salt chemistry and electrochemical processes
- Atomic and Molecular Physics
- High-Voltage Power Transmission Systems
- Bone Tissue Engineering Materials
- Phase Change Materials Research
- Electricity Theft Detection Techniques
- Technology and Security Systems
Sichuan University
2011-2025
Zhejiang University of Technology
2024
Fujian Fisheries Research Institute
2023
China Aerospace Science and Industry Corporation (China)
2023
Ministry of Agriculture and Rural Affairs
2018-2023
Xinjiang University
2023
Beijing University of Technology
2019-2023
University of Nebraska Medical Center
2020
Tianjin Hospital
2020
Chengdu University of Information Technology
2011-2019
Functional reconstruction of craniomaxillofacial defects is challenging, especially for the patients who suffer from traumatic injury, cranioplasty, and oncologic surgery. Three-dimensional (3D) printing/bioprinting technologies provide a promising tool to fabricate bone tissue engineering constructs with complex architectures bioactive components. In this study, we implemented multi-material 3D printing printed PCL/hydrogel composite scaffolds loaded dual small molecules (i.e. resveratrol...
Early and accurate detection of incipient cable faults is a great interest to the utility industry. Such can be classified into subcycle multicycle types. Although lot research has been conducted on types faults, little work done for faults. This paper proposes novel method detecting locating fault in cable. The modeled as self-clearing arcing fault. distortion degree calculated voltage used detect occurrence an match between measured waveforms guide search distance. accuracy further...
Arcing fault is a special in medium-voltage distribution lines which can potentially cause shock hazard, apparatuses failure, and wild fire. Due to its short duration or low current, the detection of an arcing highly challenging. In this paper, model-based general method separate from common nonarcing disturbances proposed. First, model disturbance relating characteristics, load parameters, substation voltage current waveforms are derived. For accuracy models, drop on line taken into...
Emerging excessive greenhouse gas emissions pose great threats to the ecosystem, which thus requires efficient CO2 capture mitigate disastrous issue. In this report, large molecular size bisphenol A ethoxylate diacrylate (BPA) was employed crosslink poly (ethylene glycol) methyl ether acrylate (PEGMEA) via green and rapid UV polymerization strategy. The microstructure of such-prepared membrane could be conveniently tailored by tuning ratio two prepolymers, aiming at obtaining optimized...
Tree-related high-impedance faults (THIFs) in medium voltage distribution systems represent a typical fault, especially where an overhead line crosses forested area. The arc caused by THIFs could ignite nearby combustibles, significantly increasing the risk of forest fires. THIF detection remains significant challenge because this type fault has weak characteristics, as impedance can reach hundreds kΩ. Many previous studies have investigated reducing wildfires THIFs. This paper reviews...
The timely detection and accurate location of capacitor element breakdown faults (CEBFs) are crucial in optimizing the performance alternating current (AC) filters ensuring safety stable operation high-voltage direct transmission systems. In this paper, by analyzing physical process CEBFs transient fault characteristics, a mapping relationship is established between initial phase angle fault, direction sudden changes unbalanced current, difference on low-voltage side for occurring different...
To avoid power supply hazards caused by cable failures, this paper presents an approach of incipient failure recognition and classification based on variational mode decomposition (VMD) a convolutional neural network (CNN). By using VMD, the original current signal is decomposed into seven modes with different center frequencies. Then, 42 features are extracted for used to construct feature vector as input CNN classify through deep learning. Compared signals directly input, proposed more...
The financial loss assessment of industrial users due to voltage sag and short interruptions is important for distribution network performance evaluation power quality enhancement scheme design. Existing models are highly dependent on complete process information, which difficult obtain. To solve this problem, a new sensitive model needs limited processes information proposed. In the proposed model, equipment modeled by tolerance curves (VTC), truth table used characterize logical...
Cable incipient fault (CIF) is a potential which may recur over time and evolve into permanent eventually. The identification of CIF can help to reduce the likelihood enhance power supply reliability. This paper fully considers randomness uncertainty waveforms, proposes method using disturbance waveform feature learning. Firstly, shallow features are extracted characterize transient components different current by conducting stationary wavelet transform. Then, dropout deep belief network...
Cable incipient fault is an intermittent arc fault, and may evolve into a permanent fault. Due to the short duration of conventional overcurrent protection device cannot detect it. A cable identification method proposed in this study, using restricted Boltzmann machine (RBM) stacked autoencoder (SAE). Firstly, disturbance current waveforms data effectively compressed by RBM, which can improve analysis efficiency obtain shallow features data. Then, used as input SAE, optimal network...
Abstract Power disturbances, defined as the waveform distortion of a power system under normal or abnormal conditions, contain considerable and equipment state information. Obtaining information from disturbance is very important to ensure safety grids. To adapt development electronics, informatisation digitisation systems, several applications with waveform‐recording devices have obtained large amounts data, laying an foundation for analysis application data. First, typical monitoring...
Existing active arc suppression methods compensate fault current through controlling busbar voltage to zero. However, it may boost the point in case of considering load and feeder impedance, fail suppress arc. This study proposes a method by faulted terminal open‐circuit (FTOCV) harmonic impedance neutral‐point. The effect are taken into account. Depending on this, controller (FTOCVC) is proposed for suppression, which consists reference calculation module (RVCM) tracking (RVTC). RVTC...
Accurately detecting oil leakage from a power transformer is important to maintain its normal operation. Deep learning (DL) methods have achieved satisfactory performance in automatic detection, but challenges remain due the small amount of training data and targets with large variations position, shape, scale. To manage these issues, we propose dual attention residual U-net (DAttRes-Unet) within architecture that extensively uses network as well spatial channel-wise modules. overcome...
It is an important approach to improve the x-ray conversion efficiency of laser-ablated high-Z plasmas by using low initial density materials for various applications. However, unavoidable low-Z impurities in manufacture process low-density foam targets will depress this effect. A general easy-to-use analytical model based on simulations was developed evaluate quantitative impact within gold target laser efficiency. In addition, efficiencies 1 g∕cm3 foams with two different contents were...