Bearing Compound fault diagnosis based on double-domain reweighted adaptive sparse representation
J Meng, J Xu, C Liu, C Chen, L Liu - IEEE Access, 2024 - ieeexplore.ieee.org
Compound faults easily happen in rolling bearing due to the complex working environment.
Diagnosing compound faults accurately is a thorny problem, which can ensure the normal …
Diagnosing compound faults accurately is a thorny problem, which can ensure the normal …
An Adaptive Rank Based Tensor Ring Completion Model for Intelligent Transportation Systems
Low rank tensor ring based data recovery algorithms have been widely used in vehicle road
cooperation intelligent transportation system to recover missing data entries in the sensing …
cooperation intelligent transportation system to recover missing data entries in the sensing …
Generalized Low-Rank Matrix Completion Model with Overlapping Group Error Representation
W Lu, Z Fang, L Wu, L Tang, H Liu, C He - arXiv preprint arXiv:2407.08517, 2024 - arxiv.org
The low-rank matrix completion (LRMC) technology has achieved remarkable results in low-
level visual tasks. There is an underlying assumption that the real-world matrix data is low …
level visual tasks. There is an underlying assumption that the real-world matrix data is low …
FEFR: Feature early fusion and reconstruction for online knowledge distillation
X Liang, W Liu, F Bi, X Yan… - Journal of Intelligent & …, 2023 - content.iospress.com
Online knowledge distillation breaks the pre-determined strong and weak teacher-student
models, it provides a new way of thinking about knowledge distillation. However, the current …
models, it provides a new way of thinking about knowledge distillation. However, the current …