This paper addresses the issue of intermittent data loss during transmission of wireless network sensors and the
application of the reconstruction signal for damage detection with the damage locating vector (DLV) method. The
algorithm makes use of frequencies which contribute significant amount of energy in the signal based on Fourier
transform. As the amplitudes are uncertain due to lost data, the Fourier amplitudes are estimated based on least-square fit
of only the measured portions of the signal. The lost portions are reconstructed through inverse Fourier transform. The
procedure is iterated until the discrepancy between estimated lost portions of two consecutive iterations is below a set
threshold. This threshold and the power spectral threshold to demarcate the significant frequencies are selected based on
results from numerically simulated signals. The reconstructed signals are used with the DLV method for damage
detection to investigate the practicality of this procedure. A cantilever truss structure with a pre-stressed cable was
monitored using six wireless sensors. The pre-stressed cable was cut mid-way during random load application and data
collection. The results obtained support the use of the reconstructed signal within the framework of the DLV method.
The use of Frequency Response Functions (FRFs) measured at some points in the accessible area of a structure to detect
damage in the inaccessible area is studied, based on the difference in the normalized FRFs from a previous observed
state. Numerical simulations and experiments were carried out to investigate the effectiveness of the proposed damage
index. Results showed that from the indices at the first flexural resonance mode and in the vicinity of the first resonant
frequency, the damage can be accurately detected and located if there is damage in the accessible area. If the damage is
in the inaccessible area, the existence of the damage can be successfully ascertained although its location may not be
identified accurately. For multi-damage conditions, with damage in both the accessible and inaccessible areas, the
proposed method can accurately detect and locate the damage in the measurable area and detect the damage in the
inaccessible area. The magnitude of the indices provides useful information with regards to the damage severity.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.