gsri24/engine-maintenance

该数据集是一个与发动机状态监测相关的数据集，包含19535个训练样本。特征包括发动机转速（整型）、润滑油压力（浮点型）、燃油压力（浮点型）、冷却液压力（浮点型）、润滑油温度（浮点型）、冷却液温度（浮点型）以及发动机状态（整型，可能表示正常或故障等条件）。数据集可能用于机器学习任务，如发动机故障预测或健康状态分类。

This dataset is related to engine condition monitoring, containing 19,535 training samples. Features include engine rpm (integer), lubricating oil pressure (float), fuel pressure (float), coolant pressure (float), lubricating oil temperature (float), coolant temperature (float), and engine condition (integer, likely indicating normal or fault states). The dataset may be used for machine learning tasks such as engine fault prediction or health status classification.