Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Yulong Ying"'
Publikováno v:
Energies, Vol 17, Iss 9, p 2119 (2024)
In order to maximize the utilization efficiency of renewable energy resources and reduce carbon costs in multi-park integrated energy systems (MIESs), this paper proposes an electricity–carbon energy scheduling method for MIESs, where a electricity
Externí odkaz:
https://doaj.org/article/a517d4c6f74446d587d92770e53efed9
Publikováno v:
Energy Science & Engineering, Vol 10, Iss 9, Pp 3423-3442 (2022)
Abstract To extend useful life, improve availability, and reduce gas turbine maintenance costs, scholars have proposed many gas‐path fault diagnostic approaches on the basis of steady‐state operating conditions. However, gas turbines increasingly
Externí odkaz:
https://doaj.org/article/07cedae9f7a943a1a1c934e708146a19
Differential Contour Stellar-Based Radio Frequency Fingerprint Identification for Internet of Things
Publikováno v:
IEEE Access, Vol 9, Pp 53745-53753 (2021)
Data attacks from illegal access devices of the Internet of Things will cause serious interference and threats to the entire network. It is difficult to ensure the security of the communication system only by relying on traditional application layer
Externí odkaz:
https://doaj.org/article/ab30fa14ede84f4a82bf33fa83d2c1a6
Publikováno v:
IEEE Access, Vol 9, Pp 108932-108941 (2021)
As the core power for the aviation industry, shipbuilding industry, and power station industry, it is essential to ensure that the gas turbines operate safely, reliably, greenly and efficiently. Learn from the advantages and disadvantages of the ther
Externí odkaz:
https://doaj.org/article/a44f23f215d345ceb1b5f9f0d7b96bf1
Publikováno v:
IEEE Access, Vol 8, Pp 204417-204424 (2020)
Radio frequency fingerprint identification is a non-password authentication method based on the physical layer hardware of the communication device. Deep learning methods provide new ideas and techniques for radio frequency fingerprint identification
Externí odkaz:
https://doaj.org/article/2e4528ed9bd044ec9aa3144312a37202
Publikováno v:
Advances in Mechanical Engineering, Vol 13 (2021)
At present, the main purpose of gas turbine fault prediction is to predict the performance decline trend of the whole system, but the quantitative and thorough performance health index (PHI) research of every major component is lacking. Regarding the
Externí odkaz:
https://doaj.org/article/8de38d8c7c5c46b781ad70fd718d9436
Publikováno v:
IEEE Access, Vol 7, Pp 124268-124282 (2019)
Radio frequency signal identification technology is a non-password authentication method based on the physical layer hardware of the device. This paper explores the feature extraction and recognition method based on the gene characteristics of the ra
Externí odkaz:
https://doaj.org/article/7e8ac56acfdc4128a65da6ab96621531
Publikováno v:
IEEE Access, Vol 7, Pp 89118-89127 (2019)
To avoid disrepair and over-repair and improve gas turbine reliability and availability, gas-path diagnosis is an effective technical means of disseminating early warning information for evolving or impending deterioration. Aiming at the problems of
Externí odkaz:
https://doaj.org/article/072e7010c07e4e8aaad832d074be38ca
Publikováno v:
Royal Society Open Science, Vol 7, Iss 1 (2020)
To overcome the difficulty of having only part of compressor characteristic maps including on-design operating point, and accurately calculate compressor thermodynamic performance under variable working conditions, this paper proposes a novel compres
Externí odkaz:
https://doaj.org/article/f333efeb14064c27989c9c2c30eb7c05
Publikováno v:
Royal Society Open Science, Vol 6, Iss 2 (2019)
Rolling bearing failure is the main cause of failure of rotating machinery, and leads to huge economic losses. The demand of the technique on rolling bearing fault diagnosis in industrial applications is increasing. With the development of artificial
Externí odkaz:
https://doaj.org/article/21b5987ee5024e678c0fe1a7c453566c