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