gsri24/None

该数据集包含发动机运行参数的时间序列数据，用于监测和预测发动机状态。特征包括发动机转速、润滑油压力、燃油压力、冷却液压力、润滑油温度、冷却液温度和发动机状态（作为目标变量）。数据集仅包含训练集，共有19535个样本，适用于机器学习任务如分类或回归，以分析发动机健康状况。This dataset comprises time-series data of engine operating parameters for engine condition monitoring and prediction. Its features include engine speed, lubricating oil pressure, fuel pressure, coolant pressure, lubricating oil temperature, coolant temperature, and engine state as the target variable. The dataset only contains the training set, with a total of 19,535 samples, and is applicable to machine learning tasks such as classification or regression for analyzing engine health conditions.