Anomaly identification and correction of multi-dimensional operating conditions for a data-driven vehicle noise and vibration platform based on fusion of deep learning models
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on January 31, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
With the proliferation of data-driven methods in automotive noise, vibration, and harshness (NVH) analysis, the digital transformation of NVH performance evaluation has become increasingly imperative. However, in the actual testing process, signals are ...
With the proliferation of data-driven methods in automotive noise, vibration, and harshness (NVH) analysis, the digital transformation of NVH performance evaluation has become increasingly imperative. However, in the actual testing process, signals are ...