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Zeda Xu
Zeda Xu
Mechanical Engineering, Carnegie Mellon University
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
A multi-input and multi-task convolutional neural network for fault diagnosis based on bearing vibration signal
Y Wang, M Yang, Y Li, Z Xu, J Wang, X Fang
IEEE Sensors Journal 21 (9), 10946-10956, 2021
582021
A Channel Attention-Based Method for Micro-Motor Armature Surface Defect Detection
Y Li, M Yang, J Hua, Z Xu, J Wang, X Fang
IEEE Sensors Journal 22 (9), 8672-8684, 2022
172022
A Bearing Fault Diagnosis Model Based on Deformable Atrous Convolution and Squeeze-and-Excitation Aggregation
Y Wang, M Yang, Y Zhang, Z Xu, J Huang, X Fang
IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021
112021
Adaptation through Communication: Assessing Human-AI Partnership for the Design of Complex Engineering Systems
Z Xu, CS Hong, NF Soria Zurita, JT Gyory, G Stump, H Nolte, J Cagan, ...
Journal of Mechanical Design, 1-45, 2024
12024
Adaptation and Challenges in Human-AI Partnership for the Design of Complex Engineering Systems
Z Xu, C Hong, NF Soria Zurita, JT Gyory, G Stump, H Nolte, J Cagan, ...
International Design Engineering Technical Conferences and Computers and …, 2023
12023
Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs
J Chen, W Xu, Z Xu, NG Gutiérrez, SP Narra, C McComb
arXiv preprint arXiv:2405.01319, 2024
2024
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Articles 1–6