xpertsystems/oil038-sample

OIL-038合成设备故障数据集（样本）是一个由XpertSystems.ai生成的合成数据集，专注于石油天然气行业旋转和固定设备（如泵、阀门、压缩机）的故障和预测性维护。该数据集包含16个CSV表格，覆盖设备可靠性的完整生命周期，包括设施主数据、设备主数据、故障事件（泵、压缩机、阀门三类设备）、遥测数据（振动、热、润滑、环境、警报）、维护工单、根本原因分析、停机时间、可靠性关键绩效指标（KPI）、传感器漂移和预构建的机器学习标签。样本数据基于20个设施、约340个设备和90天的时间范围，总计约125,000行数据。数据集根据行业标准（如SAE ARP4761、API RP 691、ISO 4406等）校准，并提供了验证记分卡以确保数据质量。它适用于预测性维护建模、剩余使用寿命回归、故障分类、警报管理基准测试、可靠性指标分析和传感器融合等用例。OIL-038 — Synthetic Equipment Failure Dataset (Sample) is a synthetic dataset generated by XpertSystems.ai, focusing on equipment failure and predictive maintenance for oil & gas rotating and stationary assets (e.g., pumps, valves, compressors). It includes 16 CSV tables covering the complete equipment reliability lifecycle: facility master, equipment master, failure events (for three equipment groups), telemetry (vibration, thermal, lubrication, environmental, alarms), maintenance work orders, root cause analysis, downtime, reliability KPIs, sensor drift, and pre-built ML labels. The sample covers 20 facilities, approximately 340 assets, and a 90-day horizon, totaling around 125,000 rows. The dataset is calibrated to industry standards (e.g., SAE ARP4761, API RP 691, ISO 4406) and includes a validation scorecard for quality assurance. It is suitable for use cases such as predictive maintenance modeling, remaining useful life regression, fault classification, alarm management benchmarking, reliability metrics analysis, and sensor fusion.