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Article
Open AccessElectrical characteristics of new three-phase traction power supply system for rail transit
A novel three-phase traction power supply system is proposed to eliminate the adverse effects caused by electric phase separation in catenary and accomplish a unifying manner of traction power supply for rail ...
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Article
Soft-switching modulation algorithm-based reconfiguration of cascaded H-bridge inverters under DC source failures
Cascaded H-bridge inverters with separated DC sources charging the DC-link are widely used in the industry application due to its inherent advantages. However, a failure of the DC sources can interrupt the pow...
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Article
Optimal Sizing and Energy Management of Hybrid Energy Storage System for High-Speed Railway Traction Substation
Traction power fluctuations have economic and environmental effects on high-speed railway system (HSRS). The combination of energy storage system (ESS) and HSRS shows a promising potential for utilization of r...
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Article
Open AccessPower management in co-phase traction power supply system with super capacitor energy storage for electrified railways
Increasing railway traffic and energy utilization issues prompt electrified railway systems to be more economical, efficient and sustainable. As regenerative braking energy in railway systems has huge potentia...
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Chapter and Conference Paper
Transient Direct Current Control of Single-Phase Cascaded H-Bridge Rectifier Without Phase-Locked Loop
The traction drive system without industrial frequency transformer is the trend and effective lightweight solution of high-speed train in the future. Cascade H-bridge rectifier has become the preferred solutio...
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Article
Open AccessTransient power quality disturbance denoising and detection based on improved iterative adaptive kernel regression
The denoising and detection of transient disturbances are two important subjects for power quality monitoring and analysis. To effectively denoise and detect transient disturbances under noisy conditions, an i...
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Article
Open AccessIndustrial frequency single-phase AC traction power supply system for urban rail transit and its key technologies
To avoid stray current and maintain the benefit of no phase-split in the DC traction power supply system, an AC traction power supply system was proposed for the urban public transport such as metro and light ...
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Chapter and Conference Paper
Hybrid Integrated Power Flow Controller for Cophase Traction Power Systems in Electrified Railway
A hybrid integrated power flow controller (HIPFC) is proposed in this paper to optimize dc-link voltage rating and converter capacity for cophase traction power supply systems. In contrast to the conventional ...
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Article
Open AccessNew generation traction power supply system and its key technologies for electrified railways
Unlike the traditional traction power supply system which enables the electrified railway traction substation to be connected to power grid in a way of phase rotation, a new generation traction power supply sy...
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Chapter and Conference Paper
SVMV – A Novel Algorithm for the Visualization of SVM Classification Results
In this paper, a novel algorithm, called support vector machine visualization (SVMV), is proposed. The SVMV algorithm is based on support vector machine (SVM) and self-organizing map** (SOM). High dimensiona...
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Chapter and Conference Paper
A Hybrid Bayesian Optimal Classifier Based on Neuro-fuzzy Logic
Based on neural networks and fuzzy set theory, a hybrid Bayesian optimal classifier is proposed in the paper. It can implement fuzzy operation, and generate learning behaviour. The model firstly applies fuzzy ...
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Chapter and Conference Paper
Fuzzy Neural Classifier for Transformer Fault Diagnosis Based on EM Learning
A novel fuzzy neural classifier and learning algorithm are proposed based on EM learning in this paper. The method firstly applies rough set of its information measurement ability to evaluate system parameters...
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Chapter and Conference Paper
Chaos-Based Dynamic QoS Scheme and Simulating Analysis
This paper takes use of chaos related theories to analyze the real network traffic about its chaotic properties and prediction attributes. Owning to the good performance of chaos-based prediction in short term...
