XJTU-SY Rolling Element Bearing Accelerated Life Test Datasets 核心 · 已核验
atlas:xjtu-sy-bearing
西安交通大学-昇阳科技联合的滚动轴承加速寿命试验数据集:15 个轴承在 3 种工况下 run-to-failure 全寿命振动数据,是 RUL 研究的关键公开数据集。
- 落地页
- https://github.com/WangBiaoXJTU/xjtu-sy-bearing-datasets
- 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。 - 发布方
- Xi'an Jiaotong University & Changxing Sumyoung Technology
- 别名
- XJTU-SY
- 设备类型
rolling_bearing- PHM 任务
rul_predictiondegradation_trend_predictionhealth_state_assessment- 跑至失效
- 是
分发点
| github | https://github.com/WangBiaoXJTU/xjtu-sy-bearing-datasets | |
| other | https://biaowang.tech/xjtu-sy-bearing-datasets | 作者项目页(数据说明+镜像入口);并卡自候选副本卡(atlas:quarry-url-https-biaowang-tech-...,2026-07-10 用户裁决) |
| other | https://drive.google.com/open?id=1_ycmG46PARiykt82ShfnFfyQsaXv3_VK | 作者提供下载镜像(Google Drive);同上并卡 |
| other | https://www.dropbox.com/sh/qka3b73wuvn5l7a/AADr6oXKbafhOlrBLCNgonzua?dl=0 | 作者提供下载镜像(Dropbox);同上并卡 |
| other | http://www.mediafire.com/folder/m3sij67rizpb4/XJTU-SY_Bearing_Datasets | 作者提供下载镜像(MediaFire);同上并卡 |
故障工况
| description: 全寿命试验自然失效,失效部位事后判读fault_type: bearing_outer_race_faultinduction: accelerated_life_test |
| fault_type: bearing_inner_race_faultinduction: accelerated_life_test |
| fault_type: bearing_cage_faultinduction: accelerated_life_test |
传感器
| sensor_type: accelerometerobserved_property: vibration_accelerationsampling_rate_hz: 25600.0channel_count: 2mounting_note: 水平/垂直两方向 |
运行工况
| description: 三种工况(2100/2250/2400 rpm)condition_type: rotating_speedmin_value: 2100.0max_value: 2400.0unit: rpmis_varying: False |
| description: 径向力(与转速成组:12/11/10 kN)condition_type: loadmin_value: 10.0max_value: 12.0unit: kN |
关联论文(248 篇,候选区未经人工核验;candidate_citation = 共引启发式候选关联,非使用断言)
- XJTU-SY 滚动轴承加速寿命试验数据集解读(XJTU-SY rolling element bearing accelerated life test datasets: a tutorial) 2019 · introduces
- Research on the State Analysis Method of Mechanical Transmission System Based on Probability Box Theory 2026 · 候选关联(启发式)
- A Domain Confusion Fault Diagnosis Method Based on Label Smoothing and Early Stop Mechanism 2026 · 候选关联(启发式)
- Fault Diagnosis Under Variable Working Conditions Enhanced by Diffusion Models 2026 · 候选关联(启发式)
- Compound Fault Diagnosis of High-Speed Train Axle Box Bearings Based on APSO-VMD and Adaptive Notch Filter 2026 · 候选关联(启发式)
- A dual-module approach with sliding variable-length window for remaining useful life prediction in bearing 2026 · 候选关联(启发式)
- Data-efficient fault detection and prognosis for predictive maintenance of building systems using a hybrid Dual-Calibrated Particle Filter 2026 · 候选关联(启发式)
- A physics-informed recurrent neural network for long sequence remaining useful life prediction of rolling bearing with implicit function 2026 · 候选关联(启发式)
- Degradation-adaptive digital twin for long-term consistency 2026 · 候选关联(启发式)
- A bearing remaining useful life prediction method integrating cosine similarity change point detection 2026 · 候选关联(启发式)
- Rolling bearing life prediction method based on parameter decoupling personalized federated learning 2026 · 候选关联(启发式)
- A spatial-temporal dual-branch fusion network for rolling bearing remaining useful life prediction 2026 · 候选关联(启发式)
- Method for predicting remaining useful life of rolling bearings based on the CBGT model 2026 · 候选关联(启发式)
- Method for constructing a rolling-bearing degradation indicator via uncertainty-based confidence weighting and <i>ϵ</i> -cone partial-order screening 2026 · 候选关联(启发式)
- An Industrial Fault Signal Generation Method Based on Data-Predictive Diffusion Transformers and DDIM Sampling 2026 · 候选关联(启发式)
- SARNet: A Spike-Aware Consecutive Validation Framework for Accurate Remaining Useful Life Prediction 2026 · 候选关联(启发式)
- Domain Generalization of RUL Prediction for Bearings via Multisource Domain Mix-Up Transfer 2026 · 候选关联(启发式)
- State-adaptive liquid neural network for continuous RUL trajectory modelling of harmonic drive 2026 · 候选关联(启发式)
- A fuzzy-neuro approach to predictive maintenance using vibration signature classification 2026 · 候选关联(启发式)
- Residual-Enhanced Convolutional Transformer for Robust Rolling Bearing RUL Prediction 2025 · uses
仅列前 20 篇(首发/综述优先,按年份倒序);全量见 API。
溯源(PROV,6 条)
| source_url: https://github.com/WangBiaoXJTU/xjtu-sy-bearing-datasetsretrieved_on: 2026-07-07asserted_by: human_curator |
| about_field: operating_conditionssource_citation: Lei et al. (2019), 机械工程学报, doi:10.3901/JME.2019.16.001retrieved_on: 2026-07-07asserted_by: human_curator |
| about_field: source_citation: 人工核验:zfbin(委托批准 2026-07-09)retrieved_on: 2026-07-09asserted_by: human_curatorconfidence_level: human_verifiednote: 晋升核心区。首晋升批次 01:KLS-005 手工填卡,实质核验于 KLS-005 完成(评审见 evidence/KLS-005/);委托代理执行 |
| about_field: distributionssource_citation: 人工核验:zfbin(四问拍板 2026-07-10)retrieved_on: 2026-07-10asserted_by: human_curatorconfidence_level: human_verifiednote: 人工改写。并卡增量:副本/镜像卡的 alt 分发点并入(2026-07-10 用户裁决,详见各条目 access_note) |
| 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: notessource_citation: 人工核验:zfbin(委托批次 KLS-032,2026-07-15)retrieved_on: 2026-07-14asserted_by: human_curatorconfidence_level: human_verifiednote: 人工改写。KLS-032 license 补判:官方仓 README:'publicly available and anyone can use them to validate prognostics algorithms' + 引用请求;无 LICENSE 文件(2026-07-15 核) |