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国家电网故障检测多模态数据集
国家电网故障检测多模态数据集是一套专为电力领域垂直模型设计的高质量多模态数据集合。该数据集的构建旨在满足电力系统故障检测和维护的精确需求，通过集成多种数据模态，为电力系统的智能化监控和故障诊断提供全面的数据支持。数据集的来源广泛，涵盖了自然场景图像，并融合了丰富的多标签语义信息。它由五个主要的数据模态组成：视频、音频、文本、深度图和热红外图像。这些模态数据涉及变电、输电、杆塔、绝缘子等多个电力领域
国家基础学科公共科学数据中心4660
Acquired signals for station 52010
compressed archive with {measurmentId}.npy files from contacless method for detecting partial discharges in xlpe cc power transmission lines
NIAID Data Ecosystem50
Phasor Measurement Unit Data - Labeled
The PMU dataset is collected from the website of Ecole Polytechnique Fédérale de Lausanne (EPFL) institutions of Switzerland. The PMU dataset consists of 16 features and the data is normal without ano
Mendeley Data30
Replication Data for Remote Damage Detection of Power Plants using Deep Learning based drone image analysis
Replication Data for Remote Damage Detection of Power Plants using Deep Learning-based drone image analysis Thermal Solar, Large Solar, Small Solar, Wind turbine image dataset of drone inspection with
DataONE2020-10-24 更新500
Minimal_SCADA_Dataset.
The minimal anonymized dataset used for validating transformer state forecasting and anomaly detection results, including five key subsystems and their associated sensor time series. (CSV)
NIAID Data Ecosystem30
