A typical fault intelligent diagnosis algorithm based on VGG-SVM for N+1 rotor systems of steam turbine generators

Yun-Long Chen, Xin Pan, Hao Zeng, Sheng-Ji Yin, State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, P R China, Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment, Beijing University of Chemical Technology, P R China, Key Laboratory of Engine Health Monitoring-Control and Networking , Ministry of Education, Beijing University of Chemical Technology, P R China, Beijing Institute of Aeronautical Materials Beijing Key Laboratory of Aeronautical Materials Testing and Evaluation, Aero Engine Corporation of China, P R China

Journal of Vibration and Control

Published online on March 31, 2026

Abstract

Journal of Vibration and Control, Ahead of Print.
With the continuous advancement of the Industrial Internet of Things, high-end turbomachinery, especially multi-support rotor equipment, is increasingly developed toward artificial intelligence. The healthy operation and maintenance of equipment have ...