Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Lixiao Cao"'
Publikováno v:
IEEE Access, Vol 7, Pp 155219-155228 (2019)
Fault diagnosis of wind turbine (WT) gearboxes can reduce unexpected downtime and maintenance costs. In this paper, a new fault diagnosis framework is proposed based on deep bi-directional Long Short-term Memory (DB-LSTM). Even though deep learning h
Externí odkaz:
https://doaj.org/article/e8d18be1fe9546da83d158bdad2a5770
Autor:
Lixiao Cao, Zheng Qian, Hamid Zareipour, David Wood, Ehsan Mollasalehi, Shuangshu Tian, Yan Pei
Publikováno v:
Energies, Vol 11, Iss 12, p 3318 (2018)
Wind-powered electricity generation has grown significantly over the past decade. While there are many components that might impact their useful life, the gearbox and generator bearings are among the most fragile components in wind turbines. Therefor
Externí odkaz:
https://doaj.org/article/37280218de4d4bc79e532c4508633181
Publikováno v:
IEEE Sensors Journal. 23:3990-3999
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76ca3500886d7fe535d3d51f4d73e29a
https://doi.org/10.1109/jsen.2023.3234980
https://doi.org/10.1109/jsen.2023.3234980
Publikováno v:
Reliability Engineering & System Safety. 235:109197
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c3d9290c175e41c309aa025ee204dcc
https://doi.org/10.1016/j.ress.2023.109197
https://doi.org/10.1016/j.ress.2023.109197
Publikováno v:
Measurement. 214:112818
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15852f0701cbad42e69680a0eec145f8
https://doi.org/10.1016/j.measurement.2023.112818
https://doi.org/10.1016/j.measurement.2023.112818
Publikováno v:
Applied Acoustics. 209:109405
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd31244a06158cf9986b8bd10a6a06cd
https://doi.org/10.1016/j.apacoust.2023.109405
https://doi.org/10.1016/j.apacoust.2023.109405
Autor:
Jianxing Zhao, Lixiao Cao, Yao Zhou, Li Wang, Chonge Wang, Wenbo Jing, Gong Zhang, Ying Yu, Jianhong Zhou
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d64ab108ec64426f0da2ed232122bbeb
https://doi.org/10.2139/ssrn.4091365
https://doi.org/10.2139/ssrn.4091365
Publikováno v:
Measurement Science and Technology. 34:065103
Feature extraction based on sparse representation is widely applied in the field of mechanical fault diagnosis. L1 norm regularization is a classical sparse regularization method, but this method has sparse underestimation for large-value features. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83582147bd22d07059efdd36024bf8e0
https://doi.org/10.1088/1361-6501/acb83b
https://doi.org/10.1088/1361-6501/acb83b
Publikováno v:
IEEE Sensors Journal. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b4422b5f332ac21434c23f2a4b4a945
https://doi.org/10.1109/jsen.2023.3270880
https://doi.org/10.1109/jsen.2023.3270880
Publikováno v:
Coatings; Volume 12; Issue 11; Pages: 1760
Chalcogenide glass is an optical material with excellent mid-infrared and far-infrared penetration properties. The silver-doped Ge28Sb12Se60 (GSS) chalcogenide films in this paper were deposited on a glass substrate by the co-evaporation technique. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cf1f4e0eb45a9124633edc68329bd9d
https://doi.org/10.3390/coatings12111760
https://doi.org/10.3390/coatings12111760