In this paper, a combined approach to damage diagnosis of systems is proposed. The intention is to identify thenatural frequencies and the presence of damage. In a first step, the basic concept of the Hilbert HuangTransform is presented where the empirical mode decomposition is applied on the signal using a sifting processto obtain intrinsic mode functions exhibiting monocomponent behavior. In the next step, the Hilbert Transform isused to identify the frequencies from the well behaved ...
The detection of damage in reinforced concrete bridge using vibration characteristics has been the topic of much research in the last two decades. Since reinforced concrete structures are nonlinear in behaviour, even with relatively low levels of damage, it is difficult to make a reliable estimate on the modal properties for use in the damage detection/health monitoring. The Hilbert-Huang transform (HHT) comprises the empirical mode decomposition (EMP) of the data and performing the Hilbert ...
As novel construction materials become more economically and technically available throughout theglobe, the structures become more complex. Therefore, an unexpected failure of these structures causescatastrophic economical and fatal losses. Over the past decades, a number of vibration based damagedetection techniques have been developed to avoid unexpected failure in structures. These damagedetection methods identify presence, location and magnitude of developed damage in the ...
Empirical mode decomposition (EMD) and Hilbert spectral analysis (HSA) representa desperate attempt to break the suffocating hold on data analysis by the twinassumptions of linearity and stationarity. To analyze the data from nonlinear andnon-stationary processes, various attempts such as Spectrograms, Wavelet analysis,and the Wigner-Ville distribution have been made, but the EMD-HSA approach isunique and different from the existing methods of data analysis. The EMD-HAS istruly an adaptive ...