NASA C-MAPSS

该数据集是由美国宇航局提供的C-MAPSS数据集，它被广泛应用于评估模型在预测涡扇发动机剩余使用寿命（RUL）方面的表现。该数据集包含了反映发动机在不同运行条件和故障模式下退化的传感器数据。数据集分为训练集和测试集，其中训练数据反映了整个失效过程的数据，而测试集仅提供了每个发动机最后周期的RUL。传感器数据进行了归一化处理，并包含了噪声，以增强数据的真实性。此外，该数据集按发动机运行条件和故障模式分为四个子集，其任务是对剩余使用寿命进行预测。

The C-MAPSS dataset, provided by the National Aeronautics and Space Administration (NASA), is widely adopted for evaluating model performance in predicting the Remaining Useful Life (RUL) of turbofan engines. It encompasses sensor data that captures engine degradation under diverse operating conditions and fault modes. The dataset is split into training and test subsets: the training data includes full lifecycle sensor records spanning the entire failure progression of each engine, while the test set only provides the RUL values corresponding to the final operating cycle of every individual engine. The sensor data has been normalized and includes added noise to enhance data realism. Furthermore, the dataset is divided into four subsets based on engine operating conditions and fault modes, with the core task being remaining useful life prediction.