PSI - Issue 80

Nima Rezazadeh et al. / Procedia Structural Integrity 80 (2026) 411–417 Author name / Structural Integrity Procedia 00 (2019) 000 – 000

417

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Pan X, Chen H, Wang W, Su X. Adversarial domain adaptation based on contrastive learning for bearings fault diagnosis. Simul Model Pract Theory 2025;139:103058. https://doi.org/10.1016/j.simpat.2024.103058. Peng P, Zhang Y, Wang H, Zhang H. Towards robust and understandable fault detection and diagnosis using denoising sparse autoencoder and smooth integrated gradients. ISA Trans 2022;125:371–83. https://doi.org/10.1016/j.isatra.2021.06.005. Rezazadeh N, Annaz F, Jabbar WA, Vieira Filho J, De Oliveira M. A transfer learning approach for mitigating temperature effects on wind turbine blades damage diagnosis. Struct Health Monit 2025. https://doi.org/10.1177/14759217241313350. Rezazadeh N, Perfetto D, de Oliveira M, De Luca A, Lamanna G. A fine-tuning deep learning framework to palliate data distribution shift effects in rotary machine fault detection. Struct Health Monit 2024. https://doi.org/10.1177/14759217241295951. Xie Y, Wan F, Hua Y, Yang M, Qing X. Prototype-oriented domain adaptation for rotating machinery fault diagnosis. Measurement 2025;253:117544. https://doi.org/10.1016/j.measurement.2025.117544. Zhang C, Yang J, Chang Z. Vibration of shafts and shaft systems. Machinery Dynamics, Elsevier; 2022, p. 223–48. https://doi.org/10.1016/B978 0-12-815785-5.00020-0. Zhao D, Li J, Cheng W, Wen W. Bearing multi-fault diagnosis with iterative generalized demodulation guided by enhanced rotational frequency matching under time-varying speed conditions. ISA Trans 2023;133:518–28. https://doi.org/10.1016/j.isatra.2022.06.047.