High-Accuracy Prediction of Journal Bearing Failures in Centrifugal Compressors Using a Hybrid SVM–Random Forest Approach
Crossref DOI link: https://doi.org/10.1007/s11668-025-02232-5
Published Online: 2025-07-15
Published Print: 2025-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hemati, Ali https://orcid.org/0000-0001-9085-834X
Text and Data Mining valid from 2025-07-15
Version of Record valid from 2025-07-15
Article History
Received: 12 April 2025
Revised: 27 June 2025
Accepted: 27 June 2025
First Online: 15 July 2025