Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Xuyun Fu"'
Publikováno v:
Sensors, Vol 21, Iss 13, p 4526 (2021)
Gas-path anomalies account for more than 90% of all civil aero-engine anomalies. It is essential to develop accurate gas-path anomaly detection methods. Therefore, a weakly supervised gas-path anomaly detection method for civil aero-engines based on
Externí odkaz:
https://doaj.org/article/e7c6e1ac4ca04db9979100739ab2f19b
Publikováno v:
Journal of Manufacturing Systems. 68:410-425
Publikováno v:
Neural Computing and Applications.
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-13
In general, deep learning based fault diagnosis methods need a large number of training samples, which are often not available in real applications. Aiming at this problem, this paper develops a new data augmentation method, i.e. randomized wavelet e
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. :1-10
Publikováno v:
IEEE Transactions on Industrial Electronics. 68:2587-2597
Vibration signals under the same health state often have large differences due to changes in operating conditions. Likewise, the differences among vibration signals under different health states can be small under some operating conditions. Tradition
Publikováno v:
Chinese Journal of Aeronautics, Vol 34, Iss 1, Pp 79-90 (2021)
The variations in gas path parameter deviations can fully reflect the healthy state of aero-engine gas path components and units; therefore, airlines usually take them as key parameters for monitoring the aero-engine gas path performance state and co
Publikováno v:
2022 Prognostics and Health Management Conference (PHM-2022 London).
Publikováno v:
2022 Prognostics and Health Management Conference (PHM-2022 London).
Publikováno v:
2022 Prognostics and Health Management Conference (PHM-2022 London).