地球资源数据云——数据资源详情

工业设备监控数据集

该数据集《Industrial Equipment Monitoring Dataset》主要用于二分类任务，数据形态以表格为主。 题目说明：Monitoring of Industrial Equipment for Fault Detection 任务类型：表格二分类。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：equipment_anomaly_data.csv。 Industrial Equipment Monitoring Dataset Dataset Overview This dataset contains simulated data representing real - time monitoring of various industrial equipment, including turbines, compressors, and pumps. Each row in the dataset corresponds to a unique observation capturing key parameters such as temperature, pressure, vibration, and humidity. The dataset also includes information about the equipment type, location, and whether the equipment is classified as faulty. Columns Description