Jul 2026
Research on Data-Driven Intelligent Monitoring and Prediction System for Fatigue Damage in Metallurgical Cranes
A data-driven structural fatigue damage health monitoring system that can dynamically evaluate the structural health status of metallurgical cranes and predict the remaining life of the structure based on a nonlinear cumulative damage model is proposed.
Li Chen, Xu Zhang, Ke-Qin Ding
· SAE technical paper series · 0 citations