Fault diagnosis method based on multi-source signal fusion combined with GAN
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on October 07, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
A fault diagnosis method that combines multi-source signal fusion with generative adversarial network (GAN) is proposed to establish a fault diagnosis model. Principal component analysis (PCA) is initially utilized to fuse vibration signals from multiple ...
A fault diagnosis method that combines multi-source signal fusion with generative adversarial network (GAN) is proposed to establish a fault diagnosis model. Principal component analysis (PCA) is initially utilized to fuse vibration signals from multiple ...