xpertsystems/oil040-sample

OIL-040是一个合成振动和传感器数据集的预览版本，专为石油和天然气旋转设备的状况监测设计。该数据集包含12个CSV表格，覆盖3轴振动（X/Y/Z）、5种支持性遥测模式（温度、压力、声学、润滑分析）、工作订单、故障事件、每记录健康评分、剩余使用寿命（RUL）标签以及32-bin FFT频谱。预览版本基于80个资产、30天时间范围、每天4个样本生成，总计约388,000行数据，约40 MB大小。数据校准遵循ISO 10816、ISO 13373、API RP 670等工业标准，适用于信号处理机器学习、基于FFT的故障分类、ISO 10816振动严重性分类、3轴异常检测、多模态传感器融合等研究。完整产品覆盖约15,000个资产、365天、96-bin FFT频谱，约8,000万行数据。OIL-040 is a preview release of a synthetic vibration and sensor dataset designed specifically for condition monitoring of oil and gas rotating equipment. This dataset comprises 12 CSV tables, covering 3-axis vibration (X/Y/Z), 5 types of supporting telemetry modes including temperature, pressure, acoustics, and lubrication analysis, work orders, fault events, per-record health scores, Remaining Useful Life (RUL) labels, and 32-bin FFT spectra. The preview version is generated based on 80 assets, a 30-day time span, and 4 samples per day, totaling approximately 388,000 data rows with a size of around 40 MB. The data calibration complies with industrial standards such as ISO 10816, ISO 13373, and API RP 670, and is applicable to research areas including signal processing-based machine learning, FFT-based fault classification, ISO 10816 vibration severity classification, 3-axis anomaly detection, and multimodal sensor fusion. The full product covers approximately 15,000 assets, a 365-day time span, 96-bin FFT spectra, and around 80 million data rows.