Example Dataset of Five Typical Fault Types in Industrial Rotor Systems 核心 · 已核验

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"This collection comprises five sets of real-world fault datasets from rotating machinery, including turbine oil film whirl, turbine rotor-stator rubbing, and compressor high-pressure cylinder surge. All datasets were acquired on site using eddy-current displacement sensors at specific measurement points. The datasets contain vibration time-domain waveforms along with corresponding rotational speed, GAP voltage, peak-to-peak values, and 1\u00d7 and 2\u00d7 shaft frequency phase measurements.The waveform files for each dataset contain 1,024 sampling points per file, with the total number of files ranging from 13,820 to 35,305 per dataset, covering the complete operational cycle, including startup, normal operation, and fault conditions. These datasets provide high-resolution, real-world measurements suitable for developing and validating fault diagnosis, condition monitoring, and predictive maintenance methods for rotating machinery."

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落地页

https://ieee-dataport.org/documents/example-dataset-five-typical-fault-types-industrial-rotor-systems

国内可访问性

国内直连:可达 (2026-07-11 检测) 非直连:可达 (2026-07-11 检测)
「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

2026

发布方

IEEE DataPort

设备类型

rotor_system

PHM 任务

fault_diagnosis

故障工况

传感器