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A construction framework of hybrid model for mechanical vibration fault diagnosis based on multiple classifiers in few samples

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Fault diagnosis is critical to predictive maintenance and health management of mechanical systems. While sufficient data enables high-precision fault diagnosis models through machine learning, diagnostic accuracy tends to decline with limited samples, ...