Research on bearing fault diagnosis method based on one-dimensional parallel three-channel convolutional neural network
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
Published online on October 02, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Volume 240, Issue 2, Page 722-736, April 2026.
As an important component of mechanical equipment, bearings are widely used in various industries and play a pivotal role. Therefore, it is essential to diagnose bearing problems in real time, accurately and efficiently. Existing methods for intelligent ...
As an important component of mechanical equipment, bearings are widely used in various industries and play a pivotal role. Therefore, it is essential to diagnose bearing problems in real time, accurately and efficiently. Existing methods for intelligent ...