<b>Prediction of Minimum Film Thickness in Plain Journal Bearings Using a Data-Driven Machine Learning Framework: Dataset</b>

The dataset is used to develop an artificial intelligence model for predicting minimum film thickness of a plain journal bearing. Sheet one consists of the 7 inputs located in columns A to G. Column H is the expected output(minimum film thickness). Columns P to W indicate the normalised values of the inputs and output. Sheet 2 displays the developed model in form of explicit mathematical equations.本数据集用于开发用于预测滑动轴承（plain journal bearing）最小油膜厚度的人工智能模型。工作表1包含A列至G列的7项输入变量，H列为预期输出（最小油膜厚度），P列至W列给出了输入与输出的归一化数值。工作表2以显式数学方程的形式展示了所开发的模型。