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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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