Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Dezun Zhao"'
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 32, Iss 1, Pp 1-11 (2019)
Abstract It is a challenging issue to detect bearing fault under nonstationary conditions and gear noise interferences. Meanwhile, the application of the traditional methods is limited by their deficiencies in the aspect of computational accuracy and
Externí odkaz:
https://doaj.org/article/09b6dca7f1274f089b47bd1bb99edc07
Publikováno v:
Sensors, Vol 20, Iss 18, p 5201 (2020)
It is proposed a novel instantaneous frequency estimation technology, multi-generalized demodulation transform, for non-stationary signals, whose true time variations of instantaneous frequencies are unknown and difficult to extract from the time-fre
Externí odkaz:
https://doaj.org/article/c0665189e2bb4bb09432bedc501bf277
Publikováno v:
Shock and Vibration, Vol 2015 (2015)
In the field of rolling element bearing fault diagnosis, variable rotational speed and gear noise are main obstacles. Even though some effective algorithms have been proposed to solve the problems, their process is complicated and they may not work w
Externí odkaz:
https://doaj.org/article/ba91a9c3ec634d4e99e6f21813838142
Publikováno v:
IEEE Sensors Journal. 22:15248-15257
Akademický článek
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Publikováno v:
IEEE Sensors Journal. 22:5768-5777
Publikováno v:
IEEE/ASME Transactions on Mechatronics. :1-11
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:401-410
Effective detection of multifaults in bearings and gears is a challenging issue in rotary machinery health monitoring. As such, a generalized Vold–Kalman filtering (GVKF)-based compound faults diagnosis method is presented in this paper. The techni
Adaptive demodulation synchro-extracting transform for bearing time-varying fault feature extraction
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. :095440622211455
Since bearing fault-induced impulses are time-varying under variable rotational speeds and often polluted by background noise and other interference components, it is still a challenging task for bearing feature extraction and diagnosis. As such, a n
Publikováno v:
Measurement. 203:112007