xpertsystems/oil039-sample

OIL-039合成预测性维护数据集（样本）是XpertSystems.ai为石油和天然气旋转和静止资产生成的合成预测性维护和预后数据集的模式一致预览版本。完整产品覆盖约12,000个资产，时间跨度为730天，具有高保真7波段FFT分解。此样本为生成器的“样本”模式（250个资产 × 90天 × 每天2个样本），涵盖所有13个产品表格，并预建了每个时间戳的剩余使用寿命标签和7天/30天故障概率，适用于PHM模型训练。

OIL-039 — Synthetic Predictive Maintenance Dataset (Sample) is a schema-identical preview of OIL-039, the XpertSystems.ai synthetic predictive-maintenance and prognostics dataset for oil & gas rotating and stationary assets. The full product covers ~12,000 assets across a 730-day horizon with high-fidelity 7-band FFT decomposition. This sample is the generators `sample` mode (250 assets × 90 days × 2 samples/day) covering all 13 product tables, with pre-built per-timestamp RUL labels and 7d/30d failure probabilities ready for PHM model training.