<ul><li>An integrated intelligent method of fault diagnosis for gears using acceleration signals is proposed.</li><li>The method is based on Gabor-based Adaptive Short-Time Fourier Transform (Gabor-ASTFT) and Dual-Tree Complex Wavelet Transform(DTCWT) algorithms.</li><li>The proposed method incorporates a dilated residual structure and a feature fusion layer for multi-scale analysis of fault features.</li><li>Comparative experiments demonstrate the effectiveness of the proposed method for end-to-end fault diagnosis of gears.</li></ul>

An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy

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