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Zhou Et Al 2025 Fault Diagnosis of Gearbox Based On Attention Residual Network and Multi Sensor Data Fusion by Xiaowei Wu is a document available to read on EtoBox.

What is Zhou Et Al 2025 Fault Diagnosis of Gearbox Based On Attention Residual Network and Multi Sensor Data Fusion about?

The document presents a novel intelligent improved attention feature fusion residual network (IAFFRNet) for gearbox fault diagnosis, addressing challenges such as noise interference and single sensor limitations. By converting acoustic and vibration signals into 2D images and employing multi-sensor data fusion, the IAFFRNet effectively captures and classifies gearbox fault features. Experimental results demonstrate its superior diagnostic accuracy and generalization ability compared to existing methods.

Author

Xiaowei Wu

Language

EN