Airbus Helicopter Accelerometer Dataset 核心 · 已核验

atlas:airbus-helicopter-accelerometer

The use case is relative to flight test helicopters vibration measurements. The dataset has been collected and released by Airbus SAS. A main challenge in flight tests of heavily instrumented aircraft (helicopters or airplanes alike) is the validation of the generated data because of the number of signals to validate. Manual validation requires too much time and manpower. Automation of this validation is crucial.

In this case, different accelerometers are placed at different positions of the helicopter, in different directions (longitudinal, vertical, lateral) to measure the vibration levels in all operating conditions of the helicopter. The data set consists of multiple 1D time series with a constant frequency of 1024 Hz taken from different flights, cut into 1 minute sequences.

We are interested in the detection of abnormal sensor behaviour. Sensors are recorded at 1024Hz and we provide sequences of one-minute length.

Training data

The training dataset is composed of 1677 one-minute-sequences @1024Hz of accelerometer data measured on test helicopters at various locations, in various angles (X, Y, Z), on different flights. All data has been multiplied by a factor so that absolute values are meaningless, but no other normalization procedure was carried out. All sequences are considered as normal and should be used to learn normal behaviour of accelerometer data.

Validation Data

The validation dataset is composed of 594 one-minute-sequences of accelerometer data measured on test helicopters at various locations, in various angles (X, Y, Z). Locations and angles may or may not be identical to those of the training dataset. Sequences are to be tested with the normal behaviour learnt from the training data to detect abnormal behaviour. The amount of abnormal sequences in the validation dataset is a priori unknown.

Datasets are provided in a HDF5 format that can be decoded by many standard machine learning modules (like pandas for instance):

• In th

落地页
https://www.research-collection.ethz.ch/handle/20.500.11850/415151
许可证
CC-BY-NC-SA-4.0 (判读置信:inferred)
国内可访问性
国内直连:未知 (2026-07-11 检测) 代理通道:未知 (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
2020
发布方
ETH Zurich
设备类型
helicopter
PHM 任务
anomaly_detection

传感器

sensor_type: accelerometerobserved_property: vibration_acceleration

运行工况

description: 试飞序列工况(工业匿名化)condition_type: otheris_varying: True
溯源(PROV,7 条)
source_citation: curation/dataset-shortlist-v0.yaml(manual(ETH Research Collection,DOI 已核))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/10.3929/ethz-b-000415151retrieved_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,sensors,notessource_citation: facet-batch-05.yamlretrieved_on: 2026-07-08asserted_by: automated_extractionnote: 代理归纳刻面(依据:领域公知+ETH 记录);候选区,晋升需人工核验
about_field: equipment_types,operating_conditionssource_citation: facet-batch-06.yamlretrieved_on: 2026-07-08asserted_by: automated_extractionnote: 代理归纳刻面(依据:ETH 记录+领域公知;helicopter 为本批词表新增(batch-05 review_flag 落地));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(Gate 0 四问拍板 2026-07-14)retrieved_on: 2026-07-14asserted_by: human_curatorconfidence_level: human_verifiednote: 人工改写。KLS-023 SPDX 记法归一:cc-by-nc-sa-4.0 → CC-BY-NC-SA-4.0(官方大小写,语义不变;批次 09 同款先例)