Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Shaolin Hu"'
Autor:
Yuan Wang, Shaolin Hu
Publikováno v:
PeerJ Computer Science, Vol 10, p e2433 (2024)
Centrifugal compressors are widely used in the petroleum and natural gas industry for gas compression, reinjection, and transportation. Early fault identification and fault evolution prediction for centrifugal compressors can improve equipment safety
Externí odkaz:
https://doaj.org/article/d61367da48f64c6694734f23bea5f4b2
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36611- (2024)
Compressors are important production equipment in the petrochemical industry, and the accuracy of their fault diagnosis is critical. In order to detect and diagnose compressor equipment faults in a timely manner, this paper constructs a deep residual
Externí odkaz:
https://doaj.org/article/c707afad76734e13a4889b7663ab34c6
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Due to the complexity of the chemical plant area at night and the harsh lighting environment, the images obtained by monitoring equipment have issues such as blurred details and insufficient contrast, which is not conducive to the subsequent
Externí odkaz:
https://doaj.org/article/accbbdb168ab4f8e9f3a9d9c5c664036
Autor:
Shaolin Hu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Data clustering belongs to the category of unsupervised learning and plays an important role in the dynamic systems and big data. The clustering problem of sampled time-series data is undoubtedly much more challenging than that of repeatable
Externí odkaz:
https://doaj.org/article/1dce6fe0458d42f4b8023bf24dc70428
Publikováno v:
International Journal of Aerospace Engineering, Vol 2022 (2022)
To simultaneously achieve space formation flight and target tracking of multiple unmanned aerial vehicles (UAVs) and solve the rotation buffeting problem of the UAV, a robust formation control and target tracking algorithm is proposed. The artificial
Externí odkaz:
https://doaj.org/article/049af44c41874277937c64ef739bc0ab
Publikováno v:
David C.Wyld et al.(Eds): ITCSE,ICDIPV,NC,CBIoT,CAIML,CRYPIS,ICAIT,NLCA-2021,pp.61-68,2021.CS&IT-CSCP 2021
Industrial big data is an important part of big data family, which has important application value for industrial production scheduling, risk perception, state identification, safety monitoring and quality control, etc. Due to the particularity of th
Externí odkaz:
http://arxiv.org/abs/2106.15377
Publikováno v:
Signal, Image & Video Processing; Sep2024, Vol. 18 Issue 10, p6729-6743, 15p
Publikováno v:
Transactions of FAMENA. 2023, Vol. 47 Issue 1, p37-54. 18p.
Publikováno v:
Mathematical Problems in Engineering. 2022:1-15
To improve the accuracy and reliability of the relative positioning for unmanned aerial vehicles (UAVs), a relative positioning method based on multi-source information fusion is proposed. An integrated positioning scheme is constructed by the Beidou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7a0889f31138c9c27fc6503c18a0796
https://doi.org/10.1155/2022/3755861
https://doi.org/10.1155/2022/3755861
Publikováno v:
Neurocomputing. 506:228-239
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3afb4570eff9725170ffdcf8d9ec1902
https://doi.org/10.1016/j.neucom.2022.07.072
https://doi.org/10.1016/j.neucom.2022.07.072