Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Zengkai Liu"'
Autor:
Kun Zhang, Lingyu Meng, Yuhao Qi, Hongyue Chen, Jinpeng Su, Qiang Zhang, Zengkai Liu, Zhenduo Song
Publikováno v:
IEEE Access, Vol 8, Pp 196647-196656 (2020)
This paper proposes an intelligent recognition method for shearer cutting state based on deep learning theory, to solve the problems where the picks are prone to various failure forms during the cutting of coal and rock masses by the shearer. The fai
Externí odkaz:
https://doaj.org/article/7651d160115a48c4a6c8801780e97791
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
This paper aims to eliminate nonlinear friction from the performance of the digital hydraulic cylinder to enable it to have good adaptive ability. First, a mathematical model of a digital hydraulic cylinder based on the LuGre friction model was estab
Externí odkaz:
https://doaj.org/article/818f51064eb84ecb8b17bb1739234fb5
Publikováno v:
International Journal of Rotating Machinery, Vol 2020 (2020)
The presence of cavitation in the oil film seriously affects the bearing lubrication performance and bearing capacity. Now the research of this phenomenon mostly focuses on the model of Reynolds equation (R-E equation) or Navier-Stokes equation (N-S)
Externí odkaz:
https://doaj.org/article/34698eb8558f47dd9c0f61f6201ddd7c
Publikováno v:
Shock and Vibration, Vol 2020 (2020)
This paper presents a unified supporting parameter optimization procedure for the coupled bolt-rock systems by using the orthogonal experimental methods. Convergence of surrounding rock surface and deformations in the rock are taken as the objective
Externí odkaz:
https://doaj.org/article/161fac2074b149b8a74b8f0f57f7edea
Publikováno v:
Tehnički Vjesnik, Vol 24, Iss 1, Pp 7-14 (2017)
The multiplex (MUX) control system of subsea blowout preventer (BOP) plays a vital role in providing safe working conditions for the subsea drilling activities. According to the working states and critical failure modes of the MUX control system, thi
Externí odkaz:
https://doaj.org/article/58629e54477444d0bf3ff371a5a8b04a
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0125703 (2015)
This paper proposes a fault diagnosis methodology for a gear pump based on the ensemble empirical mode decomposition (EEMD) method and the Bayesian network. Essentially, the presented scheme is a multi-source information fusion based methodology. Com
Externí odkaz:
https://doaj.org/article/f7ad3a5e1b124fa0af6b32e5440b7cb7
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e113525 (2014)
Reliability analysis of the electrical control system of a subsea blowout preventer (BOP) stack is carried out based on Markov method. For the subsea BOP electrical control system used in the current work, the 3-2-1-0 and 3-2-0 input voting schemes a
Externí odkaz:
https://doaj.org/article/ccb662df204e43748c2c3ba89e0b0ed5
Autor:
Xiangdi Kong, Baoping Cai, Yonghong Liu, Hongmin Zhu, Chao Yang, Chuntan Gao, Yiqi Liu, Zengkai Liu, Renjie Ji
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 53:1618-1629
Publikováno v:
Process Safety and Environmental Protection. 167:162-172
Autor:
Zhengda Wang, Yi Ren, Baoping Cai, Ziqi Yang, Zengkai Liu, Hao Keke, Qiang Feng, Hongmin Zhu, Yonghong Liu
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:7262-7273
Fault prognosis based on single model is generally inaccurate due to the varying working conditions. A multistage fault prognosis methodology combining stage identification with Bayesian networks (BNs) and time series approach with particular emphasi