A fractional-derivative kernel learning strategy for predicting residual life of rolling bearings
M Cui, R Gao, L Peng, X Li, D Bi, Y **e - Advanced Engineering Informatics, 2024 - Elsevier
In the field of mechanical equipment maintenance, accurately estimating the remaining
useful life (RUL) of rolling bearings is crucial for ensuring reliable equipment operation …
useful life (RUL) of rolling bearings is crucial for ensuring reliable equipment operation …
Digital Twin for wear degradation of sliding bearing based on PFENN
J Dai, L Tian, T Han, H Chang - Advanced Engineering Informatics, 2024 - Elsevier
Abstract The emergence of “Digital Twin” has raised higher demands for the health
management of industrial equipment. Sliding bearings, as crucial supporting components in …
management of industrial equipment. Sliding bearings, as crucial supporting components in …
Health indicator adaptive construction method of rotating machinery under variable working conditions based on spatiotemporal fusion autoencoder
Y Duan, X Cao, J Zhao, M Li, X Yang, F Zhao… - Advanced Engineering …, 2024 - Elsevier
Health indicators (HI) can effectively reveal potential faults and express the degradation
process of rotating machinery in engineering, which are significant for health state …
process of rotating machinery in engineering, which are significant for health state …
Remaining useful life prediction of rotating equipment under multiple operating conditions via multi-source adversarial distillation domain adaptation
Recently, domain adaptation (DA) has been widely used in the remaining useful life (RUL)
prediction of rotating machinery to effectively mitigate domain shift. Traditional DA methods …
prediction of rotating machinery to effectively mitigate domain shift. Traditional DA methods …
Unsupervised health indicator construction by a new Gaussian-student's t-distribution mixture model and its application
The equipment's remaining useful life (RUL) must be accurately estimated to guarantee its
reliable operation. As a crucial part of data-driven RUL prediction, the health indicator (HI) …
reliable operation. As a crucial part of data-driven RUL prediction, the health indicator (HI) …
Remaining useful life prognostics of bearings based on convolution attention networks and enhanced transformer
N Sun, J Tang, X Ye, C Zhang, S Zhu, S Wang, Y Sun - Heliyon, 2024 - cell.com
Rolling bearings are critical components of industrial equipment, and predicting their
remaining useful life (RUL) is a challenging task. This article proposes a new end-to-end …
remaining useful life (RUL) is a challenging task. This article proposes a new end-to-end …
[PDF][PDF] Rethinking Remaining Useful Lifetime: A predictive network based on continuous function candidates and time series extrapolation
H Klopries, A Schwung - researchgate.net
In current health monitoring systems, the remaining useful lifetime (RUL) prediction is an
elementary tool for evaluating a system's state. Predicting the remaining steps of a …
elementary tool for evaluating a system's state. Predicting the remaining steps of a …
Camvit: Research on Vr/Ar Electromyographic Gesture Recognition Interaction and Design Strategies Based on Cross-Attention Mechanism
W Wang, J Guo, Y Liu, F Song, J Qu, Z Zhang… - … Interaction and Design … - papers.ssrn.com
In advanced human-computer interaction frameworks, electromyographic (EMG) signal
based gesture recognition is becoming a key application in virtual reality (VR) and …
based gesture recognition is becoming a key application in virtual reality (VR) and …