Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Lingen LUO"'
Publikováno v:
Kuangchan zonghe liyong, Vol 45, Iss 3, Pp 6-13 (2024)
This is an article in the field of mining engineering. Aiming at problems of high cost and high comminution rate in the iron enriched sludge pelletizing process, a new kind of low cost binder was developed. In this paper, the effects of water content
Externí odkaz:
https://doaj.org/article/af4c4fc8ea80435184609409831948a5
Autor:
Lingen Luo, Jianming Pang, Yaoxin Song, Shulan Liu, Guoliang Yin, Hao Peng, Chunlei Pu, Yinhe Lin, Jingwei Li, Xuefeng Shi
Publikováno v:
Archives of Metallurgy and Materials, Vol vol. 68, Iss No 4, Pp 1525-1531 (2023)
AISI 1045 steel has the characteristics of high strain rate, large strain, and sharp rise in temperature during high-speed deformation process, resulting in a concentrated deformation band and fine structure. In this work, the microstructure of submi
Externí odkaz:
https://doaj.org/article/3ba31fa7c5744024b4a2c5b35cbf7389
Publikováno v:
High Voltage, Vol 6, Iss 1, Pp 95-105 (2021)
Abstract The performance of array‐based power equipment acoustic emission (AE) source directional of arrival (DOA) estimation methods is decided by not only algorithm performance, but also the array hardware parameters, that is, array aperture, sen
Externí odkaz:
https://doaj.org/article/79976a3e8a084e7bb35eeeb69d21add5
Publikováno v:
High Voltage (2020)
To achieve comprehensive insulation deterioration motoring of power equipment and early fault warning in air-insulated substations, a data-driven partial discharge (PD) source localisation method employing noisy ultra-high frequency (UHF) received si
Externí odkaz:
https://doaj.org/article/cb3df3ca0f4e409c92251865efe940ba
Publikováno v:
IEEE Access, Vol 5, Pp 8205-8213 (2017)
The detection and recognition of partial discharge (PD) is an important topic in insulation tests and diagnoses. Take advantage of the affluent results from random matrix theory (RMT), such as eigenvalue analysis, M-P law, the ring law, and so on, a
Externí odkaz:
https://doaj.org/article/920166dbad4647fb98d5f7e88fa4ec1f
Publikováno v:
IEEE Access, Vol 4, Pp 9969-9977 (2016)
A novel empirical data analysis methodology based on the random matrix theory (RMT) and time series analysis is proposed for the power systems. Among the ongoing research studies of big data in the power system applications, there is a strong necessi
Externí odkaz:
https://doaj.org/article/f40fbd9713174496936793cb91619b30
Publikováno v:
Energies, Vol 12, Iss 18, p 3450 (2019)
The localization of partial discharges in air-insulated substations using ultra-high frequency technology is widely studied for power equipment early warning purposes. Ultra-high frequency partial discharge localization systems are usually based on t
Externí odkaz:
https://doaj.org/article/f27d84c7b0d1493c8f941b37cb69d444
Publikováno v:
Energies, Vol 11, Iss 4, p 914 (2018)
The state of transformer equipment is usually manifested through a variety of information. The characteristic information will change with different types of equipment defects/faults, location, severity, and other factors. For transformer operating s
Externí odkaz:
https://doaj.org/article/0c10c58fb01c4f73965c72dfa3de6121
Publikováno v:
Sensors, Vol 17, Iss 8, p 1909 (2017)
Effective Partial Discharge (PD) localization can detect the insulation problems of the power equipment in a substation and improve the reliability of power systems. Typical Ultra-High Frequency (UHF) PD localization methods are mainly based on time
Externí odkaz:
https://doaj.org/article/13be65a66a5040f69911b184413e121f
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e95eef56b9550ade23ebd3d5e289ccd
https://doi.org/10.1109/tim.2023.3272391
https://doi.org/10.1109/tim.2023.3272391