1 code implementation • 11 Apr 2024 • Jing-Xiao Liao, Chao He, Jipu Li, Jinwei Sun, Shiping Zhang, Xiaoge Zhang
Blind deconvolution (BD) has been demonstrated as an efficacious approach for extracting bearing fault-specific features from vibration signals under strong background noise.
no code implementations • 29 Nov 2023 • Xiaoge Zhang, Xiao-Lin Wang, Fenglei Fan, Yiu-ming Cheung, Indranil Bose
Regarding the loss function, both intermediate and leaf nodes in the DAG graph are treated as target outputs during CINN training so as to drive co-learning of causal relationships among different types of nodes.
1 code implementation • 21 Sep 2023 • Wei-En Yu, Jinwei Sun, Shiping Zhang, Xiaoge Zhang, Jing-Xiao Liao
In this paper, we propose a supervised contrastive learning approach with a class-aware loss function to enhance the feature extraction capability of neural networks for fault diagnosis.
1 code implementation • 31 Jul 2023 • Jing-Xiao Liao, Sheng-Lai Wei, Chen-Long Xie, Tieyong Zeng, Jinwei Sun, Shiping Zhang, Xiaoge Zhang, Feng-Lei Fan
To the best of our knowledge, this is the first instance of deploying a CNN-based bearing fault diagnosis model on an FPGA.
1 code implementation • 7 May 2023 • Venkat Nemani, Luca Biggio, Xun Huan, Zhen Hu, Olga Fink, Anh Tran, Yan Wang, Xiaoge Zhang, Chao Hu
In this tutorial, we aim to provide a holistic lens on emerging UQ methods for ML models with a particular focus on neural networks and the applications of these UQ methods in tackling engineering design as well as prognostics and health management problems.
no code implementations • 8 Nov 2022 • Yuni Lai, Yulin Zhu, Wenqi Fan, Xiaoge Zhang, Kai Zhou
The robustness of recommender systems under node injection attacks has garnered significant attention.
no code implementations • 27 Aug 2022 • Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
This second paper presents a literature review of key enabling technologies of digital twins, with an emphasis on uncertainty quantification, optimization methods, open source datasets and tools, major findings, challenges, and future directions.
no code implementations • 26 Aug 2022 • Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
In part two of this review, the role of uncertainty quantification and optimization are discussed, a battery digital twin is demonstrated, and more perspectives on the future of digital twin are shared.
1 code implementation • 2 Apr 2022 • Jing-Xiao Liao, Bo-Jian Hou, Hang-Cheng Dong, Hao Zhang, Xiaoge Zhang, Jinwei Sun, Shiping Zhang, Feng-Lei Fan
Encouraged by this inspiring theoretical result on heterogeneous networks, we directly integrate conventional and quadratic neurons in an autoencoder to make a new type of heterogeneous autoencoders.
1 code implementation • 1 Dec 2021 • Taotao Zhou, Xiaoge Zhang, Enrique Lopez Droguett, Ali Mosleh
The gradient projection operation significantly mitigates the detrimental effects caused by the gradient interference when training PINN, thus accelerating the convergence speed of PINN to high-precision solutions to MSS reliability assessment.
no code implementations • 9 Jun 2014 • Yang Liu, Xiaoge Zhang, Yong Deng
The user equilibrium in traffic assignment problem is based on the fact that travelers choose the minimum-cost path between every origin-destination pair and on the assumption that such a behavior will lead to an equilibrium of the traffic network.
no code implementations • 21 Mar 2014 • Xiaoge Zhang, Andrew Adamatzky, Xin-She Yang, Hai Yang, Sankaran Mahadevan, Yong Deng
A supply chain is a system which moves products from a supplier to customers.
no code implementations • 3 Nov 2013 • Xiaoge Zhang, Qi Liu, Yong Hu, Felix T. S. Chan, Sankaran Mahadevan, Zili Zhang, Yong Deng
When the edge weight changes, the proposed algorithm can recognize the affected vertices and reconstruct them spontaneously.