Edge-AI Sensor Dataset for Real-Time Fault Prediction in Smart Manufacturing 核心 · 已核验
doi:10.21227/s9yg-fv18
"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."
- 落地页
- https://ieee-dataport.org/documents/edge-ai-sensor-dataset-real-time-fault-prediction-smart-manufacturing
- 许可证
- CC-BY-4.0 (判读置信:inferred)
- 国内可访问性
-
国内直连:可达 (2026-07-11 检测)
代理通道:可达 (2026-07-11 检测)
检测口径:lychee 双通道单轮探测;「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(PROV,6 条)
| source_url: https://ieee-dataport.org/documents/edge-ai-sensor-dataset-real-time-fault-prediction-smart-manufacturingsource_citation: quarry_mining_pool datacite#10.21227/s9yg-fv18retrieved_on: 2026-07-09asserted_by: automated_harvestnote: 反向挖掘 v3(KLS-018,词表圈选+全量人工复核):level=L1 score=0.65;候选区,晋升需人工核验 |
| about_field: equipment_typessource_citation: graphrag 抽取自论文 doi:10.21227/s9yg-fv18(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: industrial_process;候选区,晋升需人工核验(ADR-26) |
| about_field: fault_conditionssource_citation: graphrag 抽取自论文 doi:10.21227/s9yg-fv18(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: healthy_baseline;候选区,晋升需人工核验(ADR-26) |
| about_field: taskssource_citation: graphrag 抽取自论文 doi:10.21227/s9yg-fv18(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: fault_detection;候选区,晋升需人工核验(ADR-26) |
| about_field: source_citation: 人工核验:zfbin(委托批准 2026-07-10)retrieved_on: 2026-07-10asserted_by: human_curatorconfidence_level: human_verifiednote: 晋升核心区。晋升批次 05:KLS-018 挖掘池卡,逐卡逐断言对照自述核验(evidence/KLS-016/08) |
| about_field: china_accessibilitysource_citation: KLS-009 链接健康扫描(lychee 双通道)retrieved_on: 2026-07-11asserted_by: automated_harvestnote: 定期刷新标注,仅覆盖本字段;历史结果以最新扫描为准 |