Rui Yuan 
- : Amplitude-based multiscale reverse dispersion entropy: a novel approach to bearing fault diagnosis. Dans: Structural Health Monitoring.
- (2023): An efficient robotic-assisted bolt-ball joint looseness monitoring approach using CBAM-enhanced lightweight ResNet. Dans: Smart Materials and Structures, v. 32, n. 12 (27 octobre 2023).
- (2023): ResNet-integrated very early bolt looseness monitoring based on intrinsic feature extraction of percussion sounds. Dans: Smart Materials and Structures, v. 32, n. 3 (1 février 2023).
- (2022): Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification. Dans: Structural Health Monitoring, v. 22, n. 4 (décembre 2022).
- (2022): Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions. Dans: Structural Health Monitoring, v. 22, n. 2 (mai 2022).
- (2017): Parallel Computation of a Dam-Break Flow Model Using OpenACC Applications. Dans: Journal of Hydraulic Engineering, v. 143, n. 1 (janvier 2017).
- (2022): Robust fault diagnosis of rolling bearings via entropy-weighted nuisance attribute projection and neural network under various operating conditions. Dans: Structural Health Monitoring, v. 21, n. 6 (mars 2022).
- (2022): Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing. Dans: Structural Health Monitoring, v. 21, n. 6 (mars 2022).
- (2019): Percussion-based bolt looseness monitoring using intrinsic multiscale entropy analysis and BP neural network. Dans: Smart Materials and Structures, v. 28, n. 12 (octobre 2019).
Structurae coopère avec
