Vibration and acoustic data of pitch bearing in wind turbines under time-varying load (Cond_3) 核心 · 已核验
atlas:wind-turbine-pitch-bearing-vibration-acoustic-cond3
Pitch bearing, as the core component of wind turbines, brings the blades to the desired position by adjusting the aerodynamic angle. Due to the harsh working environment of wind turbines, the faults of pitch bearing may lead to the overall failure of wind turbine. However, obtaining the sufficient data of faults for pitch bearings under the actual operating environment is difficult and time-consuming. Thus, a precision-machining mechanical platform of proportionally-scaled pitch bearings was designed and built to simulate its actual operating characteristics. Based on it, the vibration and acoustic data of proportionally-scaled pitch bearings with 11 types of faults under three kinds of loads and two rotational speeds are collected and stored in the sequent data files.
The faults, such as crack, wear and spalling, are artificially created on inner or/and outer ring raceways, as well as rolling body of proportionally-scaled pitch bearings in advance. More especially, single and compound fault data are provided in this dataset.
Ultimately, this dataset provides high-quality data for the studies on fault diagnosis for pitch bearing in wind turbines and rolling bearings with low-speed and heavy loads. It is also employed to validate the effectiveness of newly developed fault diagnosis methods.
- 落地页
- https://dx.doi.org/10.17632/md6hnhpv3b
- 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
- 2025
- 发布方
- Mendeley Data
- 设备类型
wind_turbinerolling_bearing- PHM 任务
fault_diagnosis
传感器
| sensor_type: accelerometerobserved_property: vibration_acceleration |
| sensor_type: microphoneobserved_property: acoustic_pressure |
运行工况
| description: 时变载荷condition_type: loadis_varying: True |
溯源(PROV,7 条)
| source_citation: curation/dataset-shortlist-v0.yaml(mech_oam_hub#290)retrieved_on: 2026-07-08asserted_by: automated_harvestnote: 由清单条目初始化的最小候选卡 |
| about_field: description,publisher,publication_year,license_idsource_url: https://api.datacite.org/dois/10.17632/md6hnhpv3bretrieved_on: 2026-07-08asserted_by: automated_harvestnote: DataCite REST 元数据回填;仅填空字段,人工值不覆盖 |
| about_field: tasks,equipment_types,sensorssource_citation: facet-batch-02.yamlretrieved_on: 2026-07-08asserted_by: automated_extractionnote: 代理归纳刻面(依据:同上(Cond_3));候选区,晋升需人工核验 |
| about_field: operating_conditionssource_citation: facet-batch-02.yamlretrieved_on: 2026-07-08asserted_by: automated_extractionnote: 代理归纳刻面(依据:同上(Cond_3));候选区,晋升需人工核验 |
| 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 07:KLS-012 系历史卡,逐卡逐断言对照自述核验(evidence/KLS-016/11) |
| 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 |
| about_field: license_idsource_citation: 人工核验:zfbin(三问拍板 2026-07-11)retrieved_on: 2026-07-11asserted_by: human_curatorconfidence_level: human_verifiednote: 人工改写。license 记法归一 cc-by-4.0 → CC-BY-4.0(SPDX 规范 id,ADR-25 清账①,2026-07-11 用户拍板;许可语义不变) |