Electrical and mechanical diagnostic indicators of wind turbine induction generator rotor faults 核心 · 已核验
atlas:wind-turbine-induction-generator-rotor-fault-indicators
In MW-sized wind turbines, the most widely-used generator is the wound rotor induction machine, with a partially-rated voltage source converter connected to the rotor. This generator is a significant cause of wind turbine fault modes. In this paper, a harmonic time-stepped generator model is applied to derive wound rotor induction generator electrical & mechanical signals for fault measurement, and propose simple closed-form analytical expressions to describe them. Predictions are then validated with tests on a 30 kW induction generator test rig. Results show that generator rotor unbalance produces substantial increases in the side-bands of supply frequency and slotting harmonic frequencies in the spectra of current, power, speed, mechanical torque and vibration measurements. It is believed that this is the first occasion in which such comprehensive approach has been presented for this type of machine, with healthy & faulty conditions at varying loads and rotor faults. Clear recommendations of the relative merits of various electrical & mechanical signals for detecting rotor faults are given, and reliable fault indicators are identified for incorporation into wind turbine condition monitoring systems. Finally, the paper proposes that fault detectability and reliability could be improved by data fusion of some of these electrical & mechanical signals.
- 落地页
- https://dx.doi.org/10.15128/r28049g5063
- 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
- 2018
- 发布方
- Durham University
- 设备类型
wind_turbineinduction_motor- PHM 任务
fault_diagnosis
故障工况
| description: 绕线转子感应发电机转子故障fault_type: other |
溯源(PROV,6 条)
| source_citation: curation/dataset-shortlist-v0.yaml(mech_oam_hub#309)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/10.15128/r28049g5063retrieved_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,fault_conditionssource_citation: facet-batch-02.yamlretrieved_on: 2026-07-08asserted_by: automated_extractionnote: 代理归纳刻面(依据:描述:风机发电机转子故障谐波指标);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 Creative Commons Attribution 4.0 International (CC BY) → 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) |