#0 Fault Training Data 候选 · 未审核

doi:10.21227/1wfc-ek72

"The #0 Fault Training Data represents the normal or baseline operating condition of the monitored system and is used as the reference class for fault diagnosis model training. This dataset contains sensor signals collected under stable operating conditions, where no obvious fault, abnormal vibration, impact, or degradation phenomenon was observed during the acquisition process. The collected signals reflect the intrinsic dynamic response of the equipment during healthy operation and provide essential reference features for distinguishing faulty states from normal states.  During data acquisition, multiple sensor channels were recorded synchronously to capture complementary information from different measurement positions or signal sources. The raw signals were preprocessed through data cleaning, segmentation, normalization, and sample labeling to construct standardized training samples. Each sample in this category is assigned the label \u201c0\u201d, indicating the non-fault condition. These samples are mainly used to"

落地页

https://ieee-dataport.org/documents/0-fault-training-data

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。

PHM 任务

fault_diagnosis

故障工况