is proposed.A reliable damage identification was achieved using only one actuator and two sensors.Surrogate models for Lamb-wave propagation have been developed based on Artificial Neural Networks.Probabilistic damage inference was performed using Approximate Bayesian Computation.Data fusion was employed for...
A time-reversal assisted probabilistic fusion strategy for damage localization in plate-like structures using Lamb waves 2023, Structural Health Monitoring Noise Reduction for Improvement of Ultrasonic Monitoring Using Coda Wave Interferometry on a Real Bridge ...
The damage data were collected using Lamb wave signals and piezoelectric sensors located on either side of the coupon. Each coupon underwent 500,000 loading cycles, and measurements from each pair of sensors (36 possible combinations) were taken at 18 specific cycles during the experiment, ...
The ToAs for the Lamb wave signals were calculated using the CWT. It was shown that the coordinates of the AE sources could be detected to within 5% average percentage error after 10 iterations of the KF algorithm. Moon et al. [4] applied the KF to the problem of tracking the location...
A continuous-wave laser with a wavelength of 1064 nm is used as the noise source to simulate the noise environment of different intensities, and the noise level is changed by adjusting the output power. We use a 1 × 2 multimode fiber coupler with a splitting ratio of 1:99 to transmit ...
Multi-feature fusion and damage identification of large generator stator insulation based on lamb wave detection and SVM method. Sensors 2019, 19, 3733. [Google Scholar] [CrossRef] Yue, N.; Sharif Khodaei, Z. Assessment of impact detection techniques for aeronautical application: ANN vs. LSSVM...