A noise-robust structural health monitoring framework using modified MFCC and deep autoencoders with Bhattacharyya distance
Structural Health Monitoring: An International Journal
Published online on November 03, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
This study proposes a novel structural damage detection method that integrates Mel-frequency cepstral coefficients (MFCCs) and deep autoencoder (DAE) networks to enhance robustness against measurement noise and uncertainties. MFCCs are extracted from ...
This study proposes a novel structural damage detection method that integrates Mel-frequency cepstral coefficients (MFCCs) and deep autoencoder (DAE) networks to enhance robustness against measurement noise and uncertainties. MFCCs are extracted from ...