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eNauka >  Results >  An unsupervised fault diagnosis method for rolling bearing using STFT and generative neural networks
Title: An unsupervised fault diagnosis method for rolling bearing using STFT and generative neural networks
Authors: Tao, Hongfeng; Wang, Peng; Chen, Yiyang; Stojanović, Vladimir  ; Yang, Huizhong
Issue Date: 2020
Publication: Journal of the Franklin Institute
ISSN: 0016-0032 Journal of the Franklin Institute: Engineering and Applied Mathematics Search Idenfier
Type: Article
Collation: vol. 357 br. 11 str. 7286-7307
DOI: 10.1016/j.jfranklin.2020.04.024
WoS-ID: 000548504000016
Scopus-ID: 2-s2.0-85085745239
URI: https://scidar.kg.ac.rs/handle/123456789/12803
https://enauka.gov.rs/handle/123456789/334637
Metadata source: Migrirano iz RIS podataka
M-category: 
21aM21a

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