Intelligent fault diagnosis for elevator door systems using variational mode decomposition and multi-scale convolutional networks

The approach’s adaptability to non-stationary, noisy signals positions it as a promising solution for broader applications in electromechanical fault diagnosis, contributing to the development of safer and more efficient systems.