Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Qingbin Tong"'
Publikováno v:
Sensors, Vol 24, Iss 7, p 2079 (2024)
Deep transfer learning has been widely used to improve the versatility of models. In the problem of cross-domain fault diagnosis in rolling bearings, most models require that the given data have a similar distribution, which limits the diagnostic eff
Externí odkaz:
https://doaj.org/article/bddf40ad974c482ead57e2d2fbc75f9a
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3666 (2023)
Due to their excellent performance, the inductor–capacitor–capacitor-series (LCC-S)-compensated topologies are extensively used in inductive power transfer (IPT) applications. However, perfect alignment of the system’s contactless couplers is d
Externí odkaz:
https://doaj.org/article/c80f3b167a8e45c4a230cbdba939311c
Publikováno v:
Jixie chuandong, Vol 44, Pp 34-40 (2020)
Due to the complex and varied application scenarios of rolling bearings in engineering practice， early rolling bearing failures are easily masked by high-intensity background noise， and traditional fault feature extraction methods are not ideal.
Externí odkaz:
https://doaj.org/article/6cb19389e60c458eb1b562163911e0b5
Publikováno v:
Sensors, Vol 22, Iss 16, p 6108 (2022)
The transient pulses caused by local faults of rolling bearings are an important measurement information for fault diagnosis. However, extracting transient pulses from complex nonstationary vibration signals with a large amount of background noise is
Externí odkaz:
https://doaj.org/article/f9ceeb0fb0234230b72713dafbc90316
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 7346 (2022)
The data-driven intelligent fault diagnosis method of rolling bearings has strict requirements regarding the number and balance of fault samples. However, in practical engineering application scenarios, mechanical equipment is usually in a normal sta
Externí odkaz:
https://doaj.org/article/4f65c6acb46242b7bee3c0b93aed6f4b
Publikováno v:
IEEE Access, Vol 6, Pp 41566-41577 (2018)
The attitude parameters of the 3-D movement of an aircraft are indicators of an aircraft's operating state. A method of sequence screen-spot imaging based on the laser-aided cooperative target is presented to support the measurement of aircraft attit
Externí odkaz:
https://doaj.org/article/a3f61ba74c744dbbacd74ca5f6bd6e56
Autor:
Qingbin Tong, Junci Cao, Baozhu Han, Xiaodong Zhang, Zhengwei Nie, Jiamin Wang, Yuyi Lin, Weidong Zhang
Publikováno v:
IEEE Access, Vol 5, Pp 5515-5530 (2017)
The faults of rolling element bearings can result in the deterioration of machine operating conditions; how to assess the working condition and identify the fault of the rolling element bearing has become a key issue for ensuring the safe operation o
Externí odkaz:
https://doaj.org/article/21458ed1a121451fb1215669e24ae332
Publikováno v:
Energies, Vol 14, Iss 4, p 1079 (2021)
The fault diagnosis of rolling element bearing is of great significance to avoid serious accidents and huge economic losses. However, the characteristics of the nonlinear, non-stationary vibration signals make the fault feature extraction of signal b
Externí odkaz:
https://doaj.org/article/771ef31bb7294ae1a95475b3469ab5e6
Publikováno v:
Applied Sciences, Vol 10, Iss 12, p 4373 (2020)
The transient thermal performance of rolling bearings affects the mechanical performance and system safety of traction motors. Most of the traditional empirical formulas used in temperature analysis have been simplified and cannot be completely appli
Externí odkaz:
https://doaj.org/article/40c6cd715cc4486a88082cd164573228
Publikováno v:
Advances in Mechanical Engineering, Vol 9 (2017)
The fault diagnosis of rolling element bearings is very important for ensuring the safe operation of rotary machineries. Targeting the nonstationary characteristics of the vibration signals of rolling element bearings, a novel approach based on dual-
Externí odkaz:
https://doaj.org/article/ac7821af21f5437cb2d1f48c422eb814