Edge-AI Sensor Dataset for Real-Time Fault Prediction in Smart Manufacturing 核心 · 已核验
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"This dataset presents a multi-sensor, multi-modal dataset collected in a simulated smart manufacturing environment to support research in predictive maintenance and real-time fault detection using AI. It includes time-series data from vibration, temperature, humidity, and pressure sensors, annotated machine states (normal, warning, failure), and control logs from PLC systems. The dataset is ideal for edge-AI model training, digital twin simulations, and industrial AI benchmarking. Supplementary materials such as a data dictionary, README file, and system architecture diagram are included to facilitate adoption and reproducibility."
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- 落地页
- https://ieee-dataport.org/documents/edge-ai-sensor-dataset-real-time-fault-prediction-smart-manufacturing
- 国内可访问性
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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。 - 设备类型
industrial_process- PHM 任务
fault_detection
故障工况
| fault_type: healthy_baseline |
溯源(8 条)
| 来源链接: https://ieee-dataport.org/documents/edge-ai-sensor-dataset-real-time-fault-prediction-smart-manufacturing 日期: 2026-07-09 |
| 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: 2026-07-29 |