Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels.
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%0 Journal Article
%1 journals/complexity/XuSLZ20
%A Xu, Fan
%A Shu, Xin
%A Li, Xin
%A Zhang, Xiaodi
%D 2020
%J Complex.
%K dblp
%P 5013871:1-5013871:29
%T Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels.
%U http://dblp.uni-trier.de/db/journals/complexity/complexity2020.html#XuSLZ20
%V 2020
@article{journals/complexity/XuSLZ20,
added-at = {2021-12-25T00:00:00.000+0100},
author = {Xu, Fan and Shu, Xin and Li, Xin and Zhang, Xiaodi},
biburl = {https://www.bibsonomy.org/bibtex/2685de810066daf3ea04c739b269d621a/dblp},
ee = {https://doi.org/10.1155/2020/5013871},
interhash = {94c6df69c7856c39d12e1e41285e7165},
intrahash = {685de810066daf3ea04c739b269d621a},
journal = {Complex.},
keywords = {dblp},
pages = {5013871:1-5013871:29},
timestamp = {2024-04-09T05:43:09.000+0200},
title = {Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels.},
url = {http://dblp.uni-trier.de/db/journals/complexity/complexity2020.html#XuSLZ20},
volume = 2020,
year = 2020
}
