Yongbo Li 
- : Multiscale fluctuation-based symbolic dynamic entropy: a novel entropy method for fault diagnosis of rotating machinery. In: Structural Health Monitoring.
- (2023): A novel feature extraction method based on symbol-scale diversity entropy and its application for fault diagnosis of rotary machines. In: Structural Health Monitoring, v. 23, n. 3 (September 2023).
- (2023): Continuous monitoring of rolling element bearing health by nonlinear weighted squared envelope-based fuzzy entropy. In: Structural Health Monitoring, v. 23, n. 1 (May 2023).
- (2023): Multi-representation symbolic convolutional neural network: a novel multisource cross-domain fault diagnosis method for rotating system. In: Structural Health Monitoring, v. 22, n. 6 (April 2023).
- (2022): Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery. In: Structural Health Monitoring, v. 22, n. 3 (September 2022).
- (2022): A novel strategy using optimized MOMED and B-spline based envelope-derivative operator for compound fault detection of the rolling bearing. In: Structural Health Monitoring, v. 21, n. 6 (March 2022).
- (2019): Seismic Performance of Precast Bridge Columns with Socket and Pocket Connections Based on Quasi-Static Cyclic Tests: Experimental and Numerical Study. In: Journal of Bridge Engineering (ASCE), v. 24, n. 11 (November 2019).
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