CN112149549A - 一种基于深度残差网络的gis局部放电类型识别方法 - Google Patents
一种基于深度残差网络的gis局部放电类型识别方法 Download PDFInfo
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112595944A (zh) * | 2020-12-31 | 2021-04-02 | 广东电网有限责任公司电力科学研究院 | 一种局部放电模式识别方法和*** |
CN113782113A (zh) * | 2021-09-17 | 2021-12-10 | 黄河水利职业技术学院 | 一种基于深度残差网络下的变压器油中气体故障识别方法 |
CN113889198A (zh) * | 2021-09-24 | 2022-01-04 | 国网宁夏电力有限公司电力科学研究院 | 一种基于油色谱时频域信息和残差注意力网络的变压器故障诊断方法及设备 |
CN114186589A (zh) * | 2021-12-08 | 2022-03-15 | 国网上海市电力公司 | 一种基于残差网络Resnet50的超导电缆局部放电模式识别方法 |
CN115187527A (zh) * | 2022-06-27 | 2022-10-14 | 上海格鲁布科技有限公司 | 一种多源混合型特高频局部放电图谱的分离识别方法 |
CN117630611A (zh) * | 2024-01-22 | 2024-03-01 | 南京卓煊电力科技有限公司 | 全带宽高频局放prpd谱图捕获生成方法及*** |
CN117949794A (zh) * | 2024-03-27 | 2024-04-30 | 阳谷新太平洋电缆有限公司 | 一种电缆局部放电故障检测方法 |
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Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112595944A (zh) * | 2020-12-31 | 2021-04-02 | 广东电网有限责任公司电力科学研究院 | 一种局部放电模式识别方法和*** |
CN113782113A (zh) * | 2021-09-17 | 2021-12-10 | 黄河水利职业技术学院 | 一种基于深度残差网络下的变压器油中气体故障识别方法 |
CN113889198A (zh) * | 2021-09-24 | 2022-01-04 | 国网宁夏电力有限公司电力科学研究院 | 一种基于油色谱时频域信息和残差注意力网络的变压器故障诊断方法及设备 |
CN114186589A (zh) * | 2021-12-08 | 2022-03-15 | 国网上海市电力公司 | 一种基于残差网络Resnet50的超导电缆局部放电模式识别方法 |
CN115187527A (zh) * | 2022-06-27 | 2022-10-14 | 上海格鲁布科技有限公司 | 一种多源混合型特高频局部放电图谱的分离识别方法 |
WO2023213332A1 (zh) * | 2022-06-27 | 2023-11-09 | 上海格鲁布科技有限公司 | 一种多源混合型特高频局部放电图谱的分离识别方法 |
CN117630611A (zh) * | 2024-01-22 | 2024-03-01 | 南京卓煊电力科技有限公司 | 全带宽高频局放prpd谱图捕获生成方法及*** |
CN117630611B (zh) * | 2024-01-22 | 2024-04-12 | 南京卓煊电力科技有限公司 | 全带宽高频局放prpd谱图捕获生成方法及*** |
CN117949794A (zh) * | 2024-03-27 | 2024-04-30 | 阳谷新太平洋电缆有限公司 | 一种电缆局部放电故障检测方法 |
CN117949794B (zh) * | 2024-03-27 | 2024-06-04 | 阳谷新太平洋电缆有限公司 | 一种电缆局部放电故障检测方法 |
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