Dataset of 110 kV Circuit Breaker Coil Currents for Condition Monitoring: Normal Operation and Fault Diagnostics 核心 · 已核验
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This dataset contains coil current signals of a typical 110 kV circuit breaker, designed for fault diagnosis and feature extraction research. The data covers both normal operating conditions and various simulated defects. The measurements were obtained using a specialized coil current emulator, the details of which are documented in the associated publication: Machine Learning-Based High-Voltage Circuit Breaker Defect Classification Utilizing Savitzky–Golay Filter (10.1109/TIM.2025.3604980).
Data Acquisition
Sensor: ACS712 Hall-effect current sensor.
Sampling Frequency: Approximately 6.1 kHz.
Dataset Structure
The dataset is provided in a XLS format where each row represents a single measurement. The first column indicates the operational state or defect type as follows:
Norm: Normal operation of the coil (Baseline).
Aux: Auxiliary contact defect.
Latch: Latch operation/mechanical defect.
VoltRes: Supply voltage defect (Resistive/Voltage drop).
Usage Note
Researchers utilizing this dataset are encouraged to refer to the main paper (DOI listed above) for a detailed explanation of the feature extraction techniques and the physical parameters of the emulator used to generate these signals. These signals are optimized for feature extraction and the development of predictive maintenance algorithms for high-voltage switchgear.
本卡描述如含来自官方页的原文片段,其版权归原作者,不在本站 CC-BY 4.0 许可范围(见关于与许可)。
- 落地页
- https://zenodo.org/doi/10.5281/zenodo.19109562
- 许可证
- CC-BY-4.0 (置信:verified_official)
- 国内可访问性
-
国内直连:可达 (2026-07-11 检测)
非直连:可达 (2026-07-11 检测)
「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。 - 发布年份
- 2026
- 发布方
- Zenodo
- PHM 任务
condition_monitoringfault_diagnosis
故障工况
| fault_type: healthy_baseline |
传感器
| sensor_type: hall_effect_sensor |
关联论文(7 篇)
仅表示这篇论文与本数据集在文献网络中相邻, 不代表该论文确实使用了本数据集。
- Machine Learning-Based High-Voltage Circuit Breaker Defect Classification Utilizing Savitzky–Golay Filter 首发该数据集
- Research on Circuit Breaker Fault Diagnosis Method Based on Time-Frequency and Spatial Feature Fusion of Acoustic Arrays 2026 · 候选引用(未核验)
- Physics-Constrained Dual-Stream Cross-Domain Fault Diagnosis for High-Voltage Circuit Breaker Operating Mechanisms 2026 · 候选引用(未核验)
- Enhanced Mechanical Fault Diagnosis of High-Voltage Circuit Breakers Using a Multi-Strategy Improved Dung Beetle Algorithm and Support Vector Machine 2026 · 候选引用(未核验)
- Total Response Time Estimation for On-Grid Protection Systems in Renewable Smart Grids Using Transient Kinetic Energy Waveform Analysis 2025 · 候选引用(未核验)
- A Novel Measurement Method of Electromechanical Coupling in Portable Electromagnetic Vibroseis 2025 · 候选引用(未核验)
- Machine Learning-Based High-Voltage Circuit Breaker Defect Classification Utilizing Savitzky–Golay Filter 使用该数据集
溯源(9 条)
| 来源链接: https://api.datacite.org/dois/10.5281/zenodo.19109562 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-11 |
| 日期: 2026-07-25 |
| 日期: 2026-07-26 |
| 日期: 2026-07-31 |