Yong Lv 
- : A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning. In: Structural Health Monitoring.
- (2024): Experimental research and theoretical prediction on mechanical properties for recycled GFRP fiber reinforced concrete. In: Journal of Building Engineering, v. 91 (August 2024).
- : Study on Dynamic Characteristics of Vibration System with Two Degrees of Freedom and Multiple Rigid Constraints. In: International Journal of Structural Stability and Dynamics.
- (2024): Amplitude-based multiscale reverse dispersion entropy: a novel approach to bearing fault diagnosis. In: Structural Health Monitoring, v. 23, n. 5 (Februar 2024).
- (2023): An efficient robotic-assisted bolt-ball joint looseness monitoring approach using CBAM-enhanced lightweight ResNet. In: Smart Materials and Structures, v. 32, n. 12 (27 Oktober 2023).
- (2023): ResNet-integrated very early bolt looseness monitoring based on intrinsic feature extraction of percussion sounds. In: Smart Materials and Structures, v. 32, n. 3 (1 Februar 2023).
- (2022): Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification. In: Structural Health Monitoring, v. 22, n. 4 (Dezember 2022).
- (2022): Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions. In: Structural Health Monitoring, v. 22, n. 2 (Mai 2022).
- (2022): Robust fault diagnosis of rolling bearings via entropy-weighted nuisance attribute projection and neural network under various operating conditions. In: Structural Health Monitoring, v. 21, n. 6 (März 2022).
- (2022): Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing. In: Structural Health Monitoring, v. 21, n. 6 (März 2022).
- (2019): Percussion-based bolt looseness monitoring using intrinsic multiscale entropy analysis and BP neural network. In: Smart Materials and Structures, v. 28, n. 12 (Oktober 2019).
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