Arc failure detection and location within power electronics based distribution systems using deterministic and heuristic signal processing methods

使用确定性和启发式信号处理方法在基于电力电子的配电系统中进行电弧故障检测和定位

• 批准号: 2429127
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2429127
• 关键词: Arc; failure; detection; location; within

Arc detection and location are becoming increasingly important as we move to more-electric and full electric transport. Arc detection and location requires the extraction of features in the measured system voltage and current waveforms which indicate the presence of an intermittent fault. The aim of this project will be to investigate both deterministic and heuristic techniques for arc detection and location, with a particular emphasis on determining the influence of local power electronic loads on the patterns which need to be identified

随着我们转向更加电动和全电动的交通工具，电弧检测和定位变得越来越重要。电弧检测和定位需要从测量的系统电压和电流波形中提取特征，这些特征表明存在间歇性故障。本项目的目的将是研究确定性和启发式两种电弧检测和定位技术，特别强调确定局部电力电子负载对需要识别的模式的影响