This dataset compiles a fault diagnosis dataset for wind turbine blades. 核心 · 已核验
doi:10.17632/m9p8jpnxjz.1
This dataset compiles a fault diagnosis dataset for wind turbine blades. It can be used with target detection methods such as YOLO, and includes four types of faults.
- 落地页
- https://data.mendeley.com/datasets/m9p8jpnxjz/1
- 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。 - 发布年份
- 2026
- 发布方
- Mendeley Data
- 设备类型
wind_turbine- PHM 任务
fault_diagnosis
溯源(PROV,5 条)
| source_url: https://api.datacite.org/dois/10.17632/m9p8jpnxjz.1source_citation: DataCite REST 反查(KLS-019,query=fault diagnosis)retrieved_on: 2026-07-10asserted_by: automated_harvestnote: 补量候选(281→300+),经全量人工复核入库;晋升需人工核验 |
| about_field: equipment_typessource_citation: graphrag 抽取自论文 doi:10.17632/m9p8jpnxjz.1(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: wind_turbine;候选区,晋升需人工核验(ADR-26) |
| about_field: taskssource_citation: graphrag 抽取自论文 doi:10.17632/m9p8jpnxjz.1(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: fault_diagnosis;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 04:KLS-019 补量卡,逐卡逐断言对照自述核验(evidence/KLS-016/07) |
| 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 |