- Quantitative blade damage detection based on multisource domain and multistage joint transfer. Dans: Structural Health Monitoring, v. 23, n. 6 (février 2024). (2024):
- A two-level fusion model of vibro-acoustic signals for centrifugal fan blade crack detection. Dans: Structural Health Monitoring, v. 23, n. 6 (février 2024). (2024):
- A novel graph structure data-driven crack damage identification for compressor blade based on vibro-acoustic signal. Dans: Structural Health Monitoring, v. 23, n. 5 (février 2024). (2024):
- Incremental learning BiLSTM based on dynamic proportional adjustment mechanism and experience replay for quantitative detection of blade crack propagation. Dans: Structural Health Monitoring, v. 23, n. 2 (juillet 2023). (2023):
- Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion. Dans: Structural Health Monitoring, v. 22, n. 5 (février 2023). (2023):
- Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism. Dans: Structural Health Monitoring, v. 22, n. 3 (septembre 2022). (2022):
- Blade crack detection using variational model decomposition and time-delayed feedback nonlinear tri-stable stochastic resonance. Dans: Structural Health Monitoring, v. 22, n. 2 (mai 2022). (2022):