Prediction of Minimum Film Thickness in Plain Journal Bearings Using a Data-Driven Machine Learning Framework: Dataset
Abstract
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.
Fields of Study & Subjects
Tribology and Lubrication Engineering
Machine Fault Diagnosis Techniques
Lubricants and Their Additives
Publication details
- Journal / source
- ORCA Online Research @Cardiff (Cardiff University)
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Dataset