Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model
L Song, Y Jin, T Lin, S Zhao, Z Wei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the past few years, deep learning (DL) techniques for predicting remaining useful life
(RUL) have shown remarkable advancements, but model prediction accuracy and …
(RUL) have shown remarkable advancements, but model prediction accuracy and …
MTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices
J Chen, R Zhang, P Chen, J Ren, Z Wu, Y Wang… - Journal of Cloud …, 2024 - Springer
The rapid advancement of microservice architecture in the cloud has led to the necessity of
effectively detecting, classifying, and diagnosing run failures in microservice applications …
effectively detecting, classifying, and diagnosing run failures in microservice applications …
Discriminant Analysis-Guided Alignment Network for Multi-Machine Fault Collaborative Learning and Diagnosis
K Zhong, J Zhang, Y Xu, H Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In general, the safety and efficiency of thermal power plants require the collaboration of
multiple coal mills. However, running data from different coal mills will introduce significant …
multiple coal mills. However, running data from different coal mills will introduce significant …