Tianchi Ma 
- : Quantitative blade damage detection based on multisource domain and multistage joint transfer. In: Structural Health Monitoring.
- : A two-level fusion model of vibro-acoustic signals for centrifugal fan blade crack detection. In: Structural Health Monitoring.
- (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).
- (2019): Fault feature recognition of centrifugal compressor with cracked blade based on SNR estimation and adaptive stochastic resonance. In: Structural Health Monitoring, v. 22, n. 1 (November 2019).
- (2022): Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection. In: Structural Health Monitoring, v. 21, n. 6 (March 2022).
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