RADAR I\/Q DATA FOR MACHINERY IMBALANCE DETECTION 核心 · 已核验
atlas:radar-i-q-data-for-machinery-imbalance-detection
"This dataset contains continuous-wave (CW) radar recordings of motor vibration collected to support the detection and characterization of rotational imbalance. A total of 1,802 independent experiments were performed at a sensor-to-target distance of 30 cm; each experiment comprises 30 seconds of baseband in-phase (I) and quadrature (Q) samples recorded at 10 kHz (300,000 samples per channel). During each recording, motor speed and load were held constant; experimental conditions spanned speeds from 500 to 1500 rpm and loads from 0 to 3 Nm. Controlled rotational imbalance was introduced by coupling a disk to the motor and attaching discrete masses, producing four labeled classes: baseline (0 g), light imbalance (10 g), medium imbalance (20 g), and severe imbalance (30 g). Data are organized in a ZIP archive containing four class-specific folders. The dataset is intended for supervised classification, regression of imbalance severity, spectral\/time\u2011frequency analysis, demodulation, and feature\u2011extraction method development, and evaluation of noncontact sensing approaches for rotor health monitoring.Radar frequency: 24 GHz (CW mode)Sampling frequency: 10 kHzMeasurement duration: 30 secondsSignal length: 300,000 samples (I and Q channels)Motor speed: 500-1500 rpm (11 equally spaced levels)Load torque: 0-3 Nm (6 equally spaced levels)Dataset Structure:Total number of experiments: 1802 (# of experiments per classes {462, 464, 413, 463})Data formats: CSVRaw I\/Q signalsThis dataset can be utilized for mass imbalance fault diagnosis, machine learning algorithm development, and signal processing method validation in rotating machinery condition monitoring applications."
- 落地页
- https://ieee-dataport.org/documents/radar-iq-data-machinery-imbalance-detection
- 许可证
- CC-BY-4.0 (判读置信:未知)
- 国内可访问性
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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
- IEEE DataPort
- PHM 任务
fault_detection
故障工况
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fault_type: rotor_imbalance
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传感器
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sensor_type: otherobserved_property: vibration_displacementsampling_rate_hz: 10000.0mounting_note: CW 雷达非接触,距目标 30 cm,I/Q 双通道
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运行工况
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condition_type: rotating_speedmin_value: 500.0max_value: 1500.0unit: rpmis_varying: False
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condition_type: loadmin_value: 0.0max_value: 3.0unit: N·m
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溯源(PROV,7 条)
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source_citation: curation/dataset-shortlist-v0.yaml(mech_oam_hub#116)retrieved_on: 2026-07-08asserted_by: automated_harvestnote: 由清单条目初始化的最小候选卡
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about_field: description,publisher,publication_yearsource_url: https://api.datacite.org/dois/10.21227/3n2f-8z47retrieved_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
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about_field: tasks,fault_conditionssource_citation: facet-batch-01.yamlretrieved_on: 2026-07-08asserted_by: automated_extractionnote: 代理归纳刻面(依据:名称:失衡检测雷达 IQ 数据);候选区,晋升需人工核验
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about_field: sensors,operating_conditionssource_citation: facet-batch-03.yamlretrieved_on: 2026-07-08asserted_by: automated_extractionnote: 代理归纳刻面(依据:描述:1802 组实验完整参数);候选区,晋升需人工核验
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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)
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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
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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)
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