23 citations · 26 across the 3 of their papers we have counts for
3 papers
eess.SP2022★ 23 cited
Acceleration-guided Acoustic Signal Denoising Framework Based on Learnable Wavelet Transform Applied to Slab Track Condition Monitoring
Baorui Dai, Gaëtan Frusque, Qi Li +1
Acoustic monitoring has recently shown great potential in the diagnosis of infrastructure condition. However, due to the severe noise interference in acoustic signals, meaningful f…
cs.CE2020
Manifold learning-based feature extraction for structural defect reconstruction
Qi Li, Dianzi Liu, Zhenghua Qian
Data-driven quantitative defect reconstructions using ultrasonic guided waves has recently demonstrated great potential in the area of non-destructive testing. In this paper, we de…
cs.CE2020★ 3 cited
A novel combination of theoretical analysis and data-driven method for reconstruction of structural defects
Qi Li, Yihui Da, Yinghong Zhang +3
Ultrasonic guided wave technology has played a significant role in the field of non-destructive testing as it employs acoustic waves that have advantages of high propagation effici…