FM-CGFCN 核心 · 已核验

atlas:fm-cgfcn

"The experimental setup for collecting the Mechanical Fault Simulator (MFS) dataset is illustrated in Fig. 8. It primarily consists of a drive end, an acceleration sensor, an AC motor, and an signal controller. The sampling frequency is 15.6 kHz. This dataset records four bearing fault operation signals: ball fault signal, inner ring fault signal, outer ring fault signal, and combined inner and outer ring fault signal. Based on the location and size of the bearing damage, the dataset is categorized into four fault types, with the label correspondence provided in TABLE III. In this study, the vibration signal obtained under a rotation speed of 1130 r\/min is selected as the experimental data. To address limitations in sensor data acquisition, a sliding window of 1024 points is used to collect samples. We collect 800 samples from 4 fault types. Among them, 500 samples are used for model training, 150 samples are used for model testing, and 150 samples are used for model verification."

落地页

https://ieee-dataport.org/documents/fm-cgfcn

许可证

CC-BY-4.0 (判读置信:未知)

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

2025

发布方

IEEE DataPort

设备类型

rotor_system rolling_bearing

PHM 任务

fault_diagnosis

故障工况

传感器