Search Results - "Haoyuan, Sha"
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1
Identification Method for Voltage Sags Based on K-means-Singular Value Decomposition and Least Squares Support Vector Machine
Published in Energies (Basel) (23-03-2019)“…Voltage sag is one of the most serious problems in power quality. The occurrence of voltage sag will lead to a huge loss in the social economy and have a…”
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Journal Article -
2
On-line fault diagnosis model for locomotive traction inverter based on wavelet transform and support vector machine
Published in Microelectronics and reliability (01-09-2018)“…A traction inverter is the power source for rail transit vehicles. An insulated-gate bipolar transistor (IGBT) is the primary component of a traction inverter…”
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Journal Article -
3
Self-Supervised Voltage Sag Source Identification Method Based on CNN
Published in Energies (Basel) (19-03-2019)“…A self-supervised voltage sag source identification method based on a convolution neural network is proposed in this study. In addition, a self-supervised CNN…”
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Journal Article -
4
Classification of the Type of Harmonic Source Based on Image-Matrix Transformation and Deep Convolutional Neural Network
Published in IEEE access (2019)“…The classification of harmonic source types is a necessary step to alleviate harmonic pollution. This study proposes a method for the harmonic source…”
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Journal Article -
5
An Early Warning Method of TCU Failure in Electromagnetic Environment Based on Pattern Matching and Support Vector Regression
Published in Energies (Basel) (22-10-2020)“…With the continuous improvement of the voltage level of the power system, the electromagnetic interference problem of the converter station has become more and…”
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Journal Article -
6
An Approach for HVCB Mechanical Fault Diagnosis Based on a Deep Belief Network and a Transfer Learning Strategy
Published in Journal of electrical engineering & technology (01-01-2019)“…Traditional fault diagnosis for a high-voltage circuit breaker (HVCB) encounters the following problems: the fault features extracted by traditional shallow…”
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Journal Article -
7
Online Recognition Method for Voltage Sags Based on a Deep Belief Network
Published in Energies (Basel) (01-01-2019)“…Voltage sag is a serious power quality phenomenon that threatens industrial manufacturing and residential electricity. A large-scale monitoring system has been…”
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Journal Article -
8
Three-Phase Saturated-Core Fault Current Limiter
Published in Energies (Basel) (01-12-2018)“…The saturated-core fault current limiter (SFCL) is widely used to limit the fault current. However, in the conventional SFCL structure, alternating current…”
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Journal Article -
9
Multi-Harmonic Sources Harmonic Contribution Determination Based on Data Filtering and Cluster Analysis
Published in IEEE access (2019)“…Accurately determining power consumer harmonic contribution determination is an effective method to solve power quality disputes and alleviate harmonic…”
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Journal Article -
10
A data‐driven approach to state assessment of the converter valve based on oversampling and Shapley additive explanations
Published in IET generation, transmission & distribution (01-04-2022)“…The utilization of data‐driven artificial intelligence technology for ultra‐high voltage converter valve state assessment can improve efficiency and accuracy,…”
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Journal Article -
11
Electricity theft detection based on contrastive learning and non-intrusive load monitoring
Published in IEEE transactions on smart grid (01-11-2023)“…Electricity theft has caused enormous damage to grids safety and economy globally, bringing plentiful attention to electricity theft detection. However, the…”
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Journal Article -
12
Harmonic Impedance Detection Based on Capacitor Switching and Wavelet Packet Analysis
Published in 2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) (01-07-2019)“…In order to solve the problem of harmonic pollution of power grid, finding the harmonic impedance of the system it is an important premise of the evaluation of…”
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Conference Proceeding -
13
Non-intrusive multi-label load monitoring via transfer and contrastive learning architecture
Published in International journal of electrical power & energy systems (01-12-2023)“…•A transfer and contrastive learning architecture identifying multi-label loads.•Contrastive learning architecture to extract deep features.•Transfer learning…”
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Journal Article -
14
Double-layer AGC frequency regulation control method considering operating economic cost and energy storage SOC consistency
Published in International journal of electrical power & energy systems (01-02-2023)“…•A novel dynamic wear coefficient based on power change rate.•Optimizing the frequency regulation operation cost.•A dynamic control of energy storage SOC that…”
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Journal Article -
15
Classification and recognition of voltage sags based on KFCM - SVM
Published in 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) (01-10-2017)“…Voltage sag is a serious power quality problem which has a profound effect on the electrical equipment and the users. Reliable data platform has been provided…”
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Conference Proceeding -
16
Voltage Sag Classification Based on PDT-SVM
Published in 2019 IEEE International Conference on Big Data and Smart Computing (BigComp) (01-02-2019)“…Lightning strike failure is one of the causes of voltage sags. This paper analyzes the characteristics of the type of lightning strike sag and summarizes the…”
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Conference Proceeding -
17
Study of a New Structure of Three-Phase Saturated-Core Fault Current Limiter
Published in 2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE) (01-05-2018)“…Saturated-core's high demand for DC bias source and low utilization of the iron core limits its development. Some papers put forward new structures to solve…”
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Conference Proceeding -
18
Research on Multi-energy Power Flow Calculation of Thermoelectric Coupling Integrated Energy System
Published in 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) (01-11-2019)“…Integrated energy system (IES) is an important technology for energy efficiency improving, energy conservation and emission reduction. The electrothermal…”
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Conference Proceeding