Minping Jia 
- : A novel graph structure data-driven crack damage identification for compressor blade based on vibro-acoustic signal. In: Structural Health Monitoring.
- (2021): A new approach to health condition identification of rolling bearing using hierarchical dispersion entropy and improved Laplacian score. In: Structural Health Monitoring, v. 20, n. 3 (Januar 2021).
- (2019): Health condition identification for rolling bearing using a multi-domain indicator-based optimized stacked denoising autoencoder. In: Structural Health Monitoring, v. 19, n. 5 (Oktober 2019).
- (2019): A novel unsupervised deep learning network for intelligent fault diagnosis of rotating machinery. In: Structural Health Monitoring, v. 19, n. 6 (Dezember 2019).
- (2020): Health condition identification for rolling bearing based on hierarchical multiscale symbolic dynamic entropy and least squares support tensor machine–based binary tree. In: Structural Health Monitoring, v. 20, n. 1 (März 2020).
- (2020): A dynamic structure-adaptive symbolic approach for slewing bearings’ life prediction under variable working conditions. In: Structural Health Monitoring, v. 20, n. 1 (März 2020).
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