Back to top

Using Enhanced Cepstral Analysis for Structural Health Monitoring

Mel-Frequency Cepstral Coefficients (MFCCs) have been proved to be via-ble to detect damage-induc...ed shifts in the frequency content of structures subjected to external forces. Nevertheless, the Melodic (Mel) Scale is a per-ceptual feature, roughly based on human perception and originally formulat-ed to resemble the biological mechanisms of the auditory apparatus. Thus, its straight application to non-auditive acquisition systems may be misleading.

English

Using Enhanced Cepstral Analysis for Structural Health Monitoring

Mel-Frequency Cepstral Coefficients (MFCCs) have been proved to be via-ble to detect damage-induc...ed shifts in the frequency content of structures subjected to external forces. Nevertheless, the Melodic (Mel) Scale is a per-ceptual feature, roughly based on human perception and originally formulat-ed to resemble the biological mechanisms of the auditory apparatus. Thus, its straight application to non-auditive acquisition systems may be misleading.

English

Synergistic and combinatorial optimization of finite element models for monitored buildings

This paper investigates the use of rank aggregation strategies for the finite element model calibration of monitored masonry structures subjected to earthquakes. Ranking is used to obtain optimal results from several competing optimization strategies, with the final aim of establishing a numerical model of reference to support the existing monitoring systems installed on the structures.

English

The Teager-Kaiser Energy Cepstral Coefficients as an Effective Structural Health Monitoring Tool

Recently, features and techniques from speech processing have started to gain increasing attention in the Structural Health Monitoring (SHM) community, in the context of vibration analysis. In particular, the Cepstral Coefficients (CCs) proved to be apt in discerning the response of a damaged structure with respect to a given undamaged baseline. Previous works relied on the Mel-Frequency Cepstral Coefficients (MFCCs).

English

The Teager-Kaiser Energy Cepstral Coefficients as an Effective Structural Health Monitoring Tool

Recently, features and techniques from speech processing have started to gain increasing attention in the Structural Health Monitoring (SHM) community, in the context of vibration analysis. In particular, the Cepstral Coefficients (CCs) proved to be apt in discerning the response of a damaged structure with respect to a given undamaged baseline. Previous works relied on the Mel-Frequency Cepstral Coefficients (MFCCs).

English