SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning.
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%0 Journal Article
%1 journals/tim/MaoWFKZ24
%A Mao, Wentao
%A Wang, Yu
%A Feng, Ke
%A Kou, Linlin
%A Zhang, Yanna
%D 2024
%J IEEE Trans. Instrum. Meas.
%K dblp
%P 1-13
%T SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning.
%U http://dblp.uni-trier.de/db/journals/tim/tim73.html#MaoWFKZ24
%V 73
@article{journals/tim/MaoWFKZ24,
added-at = {2024-01-26T00:00:00.000+0100},
author = {Mao, Wentao and Wang, Yu and Feng, Ke and Kou, Linlin and Zhang, Yanna},
biburl = {https://www.bibsonomy.org/bibtex/22cd707eeb704667b5289abdc0cc7f7e7/dblp},
ee = {https://doi.org/10.1109/TIM.2023.3348910},
interhash = {9e555afcb6e2d0db029f07a81440887b},
intrahash = {2cd707eeb704667b5289abdc0cc7f7e7},
journal = {IEEE Trans. Instrum. Meas.},
keywords = {dblp},
pages = {1-13},
timestamp = {2024-04-08T14:37:30.000+0200},
title = {SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning.},
url = {http://dblp.uni-trier.de/db/journals/tim/tim73.html#MaoWFKZ24},
volume = 73,
year = 2024
}
