Integrating Finite Element Analysis and Machine Learning for Predictive Analysis of the Useful Life of Industrial Cutting Blades: A Case Study
A hybrid methodology that integrates finite element method simulations with machine learning to create a highly efficient surrogate model capable of predicting the fatigue life of industrial cutting blades and proves to be a viable solution to the data scarcity paradox in predictive maintenance environments.