A new damage feature index is presented for the structural health monitoring based on Hilbert-Huang transform (HHT). The energy marginal spectrum of the dynamic signal is used to construct damage characteristic parameter, which can reflect the signal energy variation and benefit the structural damage detection. A sinusoidal wave with frequency change and a composite plate vibration experiment with pre-defined damage are designed to verify the effectiveness of characteristic parameter in damage detection. Results obtained from simulation and test show that the extracted non-model-based damage feature index is available and sensitive in damage detection of time-varying system.Peer Reviewe
This paper presents the implementation of a method for nonlinear, nonstationary data processing, nam...
93 P.This work represents the new method of analyzing the vibration signals and fault diagnosis of t...
Time-frequency analysis of various simulated and experimental signals due to elastic wave scatteri...
A new damage feature index is presented for the structural health monitoring based on Hilbert-Huang ...
Structural damage identification methods are critical to the successful application of structural he...
This work illustrates the feasibility of the Hilbert-Huang transform (HHT) as a signal processing t...
ABSTRACT: The Hilbert–Huang Transform (HHT) approach is used for signal processing to discover the p...
Hilbert–Huang transform (HHT) is an innovative data-processing technique for analyzing nonstationary...
The majority of bridge condition assessment methods from acceleration data incorporate the use of th...
A new Hilbert-Huang transform (HHT)-based method for nondestructive instru-ment structure health mon...
The damage identification process through Structural Health Monitoring (SHM) field has drawn extensi...
Transient characteristics of a signal can be effectively exhibited in time-frequency domain. Hilbert...
The assessment of bridge condition from vibration measurements has generally been determined via the...
Structural Health Monitoring (SHM) in bridges is an important field, which implements increasingly i...
AbstractIn this paper a new approach is presented to detect damage of transmission tower. Models are...
This paper presents the implementation of a method for nonlinear, nonstationary data processing, nam...
93 P.This work represents the new method of analyzing the vibration signals and fault diagnosis of t...
Time-frequency analysis of various simulated and experimental signals due to elastic wave scatteri...
A new damage feature index is presented for the structural health monitoring based on Hilbert-Huang ...
Structural damage identification methods are critical to the successful application of structural he...
This work illustrates the feasibility of the Hilbert-Huang transform (HHT) as a signal processing t...
ABSTRACT: The Hilbert–Huang Transform (HHT) approach is used for signal processing to discover the p...
Hilbert–Huang transform (HHT) is an innovative data-processing technique for analyzing nonstationary...
The majority of bridge condition assessment methods from acceleration data incorporate the use of th...
A new Hilbert-Huang transform (HHT)-based method for nondestructive instru-ment structure health mon...
The damage identification process through Structural Health Monitoring (SHM) field has drawn extensi...
Transient characteristics of a signal can be effectively exhibited in time-frequency domain. Hilbert...
The assessment of bridge condition from vibration measurements has generally been determined via the...
Structural Health Monitoring (SHM) in bridges is an important field, which implements increasingly i...
AbstractIn this paper a new approach is presented to detect damage of transmission tower. Models are...
This paper presents the implementation of a method for nonlinear, nonstationary data processing, nam...
93 P.This work represents the new method of analyzing the vibration signals and fault diagnosis of t...
Time-frequency analysis of various simulated and experimental signals due to elastic wave scatteri...