CN109191419A - 基于机器学习的实时压板检测及状态识别***及方法 - Google Patents
基于机器学习的实时压板检测及状态识别***及方法 Download PDFInfo
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- G06F18/24133—Distances to prototypes
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
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Cited By (6)
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CN109740696A (zh) * | 2019-01-30 | 2019-05-10 | 亮风台(上海)信息科技有限公司 | 一种用于压板识别的方法与设备 |
CN109919038A (zh) * | 2019-02-12 | 2019-06-21 | 广西大学 | 基于机器视觉与深度学习的配电柜方形压板状态识别方法 |
CN109934221A (zh) * | 2019-02-22 | 2019-06-25 | 山东大学 | 基于注意力机制的电力设备自动分析识别监控方法及*** |
CN110277833A (zh) * | 2019-06-20 | 2019-09-24 | 国家电网有限公司 | 变电站压板状态识别的方法及终端设备 |
CN111754496A (zh) * | 2020-06-29 | 2020-10-09 | 国网陕西省电力公司延安供电公司 | 一种继电保护回路保护压板状态监测***及监测方法 |
CN113114541A (zh) * | 2021-06-15 | 2021-07-13 | 上海兴容信息技术有限公司 | 一种判断网络节点之间能否建立网络连接的方法和*** |
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CN106934378A (zh) * | 2017-03-16 | 2017-07-07 | 山东建筑大学 | 一种基于视频深度学习的汽车远光灯识别***及方法 |
CN106971182A (zh) * | 2017-02-06 | 2017-07-21 | 王兴照 | 嵌入式电力继电压板投退状态智能识别装置及实现方法 |
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WO2017165801A1 (en) * | 2016-03-24 | 2017-09-28 | The Regents Of The University Of California | Deep-learning-based cancer classification using a hierarchical classification framework |
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109740696A (zh) * | 2019-01-30 | 2019-05-10 | 亮风台(上海)信息科技有限公司 | 一种用于压板识别的方法与设备 |
CN109919038A (zh) * | 2019-02-12 | 2019-06-21 | 广西大学 | 基于机器视觉与深度学习的配电柜方形压板状态识别方法 |
CN109934221A (zh) * | 2019-02-22 | 2019-06-25 | 山东大学 | 基于注意力机制的电力设备自动分析识别监控方法及*** |
CN110277833A (zh) * | 2019-06-20 | 2019-09-24 | 国家电网有限公司 | 变电站压板状态识别的方法及终端设备 |
CN110277833B (zh) * | 2019-06-20 | 2021-07-23 | 国家电网有限公司 | 变电站压板状态识别的方法及终端设备 |
CN111754496A (zh) * | 2020-06-29 | 2020-10-09 | 国网陕西省电力公司延安供电公司 | 一种继电保护回路保护压板状态监测***及监测方法 |
CN113114541A (zh) * | 2021-06-15 | 2021-07-13 | 上海兴容信息技术有限公司 | 一种判断网络节点之间能否建立网络连接的方法和*** |
CN113114541B (zh) * | 2021-06-15 | 2021-09-14 | 上海兴容信息技术有限公司 | 一种判断网络节点之间能否建立网络连接的方法和*** |
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