A Methodology of Condition Monitoring System Utilizing Supervised and Semi-Supervised Learning in Railway.

Shim, Jaeseok; Koo, Jeongseo; Park, Yongwoon

Shim, Jaeseok; Koo, Jeongseo; Park, Yongwoon.

Affiliation

Shim J; Complex Research Center for Materials & Components of Railway, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.
Koo J; Department of Railway Safety Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.
Park Y; A2Mind, 213, Toegye-ro, Jung-gu, Seoul 04557, Republic of Korea.

Sensors (Basel) ; 23(22)2023 Nov 09.

Article in En | MEDLINE | ID: mdl-38005464

Key words

CNN; Deep One Class Classification; LeNet-5; MobileNet; ResNet-20; STFT (short time Fourier transform); TCMS (train control and management system); condition monitoring; semi-supervised learning; supervised learning

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Country of publication: Switzerland

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Country of publication: Switzerland