Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ziqian Kong"'
Publikováno v:
IEEE Access, Vol 11, Pp 9441-9450 (2023)
In order to build an effective condition monitoring (CM) model for the target wind turbines (WTs) with few operational data, an approach based on the feature transfer learning and a modified generative adversarial network is proposed. First, a large
Externí odkaz:
https://doaj.org/article/870385f10464431fad238b4973838016
Publikováno v:
IEEE Sensors Journal. 22:24130-24139
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b9ea277938f66eba66e02a0fbdaed03
https://doi.org/10.1109/jsen.2022.3218054
https://doi.org/10.1109/jsen.2022.3218054
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5d3e904ed0532fc9c81b96c3b2603b4
https://doi.org/10.1109/tim.2022.3184352
https://doi.org/10.1109/tim.2022.3184352
Publikováno v:
Reliability Engineering & System Safety. 234:109163
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb8defba6056f615f8d1b95f7be40774
https://doi.org/10.1016/j.ress.2023.109163
https://doi.org/10.1016/j.ress.2023.109163
Publikováno v:
Renewable Energy. 146:760-768
Aimed at identifying the health state of wind turbines accurately by comprehensively using the change information in spatial and temporal scale of the supervisory control and data acquisition (SCADA) data, a novel condition monitoring method of wind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3577abe2c7018e90338d08148c18b427
https://doi.org/10.1016/j.renene.2019.07.033
https://doi.org/10.1016/j.renene.2019.07.033