S. Kuzhalvaimozhi

A hybrid multi-domain feature ranking framework for gear fault severity classification using vibration signal analysis and machine learning approach

Gear fault diagnosis is a vital part of condition monitoring and predictive maintenance for rotating machinery, particularly in automotive applications where early detection of fault severity can avoid unexpected failures and cut down maintenance costs. However, the accurate classification of progressive fault levels i...