Xiaoshan Lin - researchr alias

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Viewing Publication 1 - 5 from 5

2024

Self-supervised learning-based dual-classifier domain adaptation model for rolling bearings cross-domain fault diagnosisQuansheng Jiang, Xiaoshan Lin, Xingchi Lu, Yehu Shen, Qixin Zhu, Qingkui Zhang. kbs, 284:111229, 2024. [doi]

Enhanced residual convolutional domain adaptation network with CBAM for RUL prediction of cross-machine rolling bearingXingchi Lu, Quansheng Jiang, Yehu Shen, Xiaoshan Lin, Fengyu Xu, Qixin Zhu. ress, 245:109976, 2024. [doi]

2023

A class-level matching unsupervised transfer learning network for rolling bearing fault diagnosis under various working conditionsChunran Huo, Quansheng Jiang, Yehu Shen, Xiaoshan Lin, Qixin Zhu, Qingkui Zhang. asc, 146:110739, October 2023. [doi]

Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time WindowsXiaoshan Lin, Abbasali Koochakzadeh, Yasin Yazicioglu, Derya Aksaray. iros 2023: 8680-8686 [doi]

2022

Robust Planning for Persistent Surveillance With Energy-Constrained UAVs and Mobile Charging StationsXiaoshan Lin, Yasin Yazicioglu, Derya Aksaray. ral, 7(2):4157-4164, 2022. [doi]

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