Lightweight Cross-Condition Rolling Bearing Fault Diagnosis via Time-Domain and Multi-Order Feature Fusion
Changes in speed, torque, and load alter bearing-vibration distributions and weaken models trained under fixed conditions. This paper combines twelve time-domain statistics with fifteen mechanically defined envelope-order energy ratios and classifies the resulting 27-dimensional vector using a random forest. Strict con...