Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Xiangkun Pang"'
Publikováno v:
E3S Web of Conferences, Vol 136, p 01012 (2019)
A multi-layer LSTM (Long short-term memory) model is proposed for condenser vacuum degree prediction of power plants. Firstly, Min-max normalization is used to pre-process the input data. Then, the model proposes the two-layer LSTM architecture to id
Externí odkaz:
https://doaj.org/article/1a957af5833b44f5a31f7cb5aff81b89
Publikováno v:
Entropy, Vol 19, Iss 12, p 663 (2017)
Transfer entropy (TE) is a model-free approach based on information theory to capture causality between variables, which has been used for the modeling and monitoring of, and fault diagnosis in, complex industrial processes. It is able to detect the
Externí odkaz:
https://doaj.org/article/5e75afc11ee94a02b31cf16f1395a767
Publikováno v:
Diamond and Related Materials. 136:109874
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::948f359fb3cfbee00980664816c5f236
https://doi.org/10.1016/j.diamond.2023.109874
https://doi.org/10.1016/j.diamond.2023.109874
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00df81cd63e76de4c6c98646ab554ae3
https://doi.org/10.2139/ssrn.4197974
https://doi.org/10.2139/ssrn.4197974
Publikováno v:
International Journal of Electrical Power & Energy Systems. 108:19-30
Automatic generation control (AGC) is an important auxiliary service provided by power generation units, such that generated active powers closely follow the changes of desired active powers as required by power grids. This paper proposes a new metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::811efafe0c2051303c369af91bf50cd4
https://doi.org/10.1016/j.ijepes.2018.12.046
https://doi.org/10.1016/j.ijepes.2018.12.046
Publikováno v:
2021 33rd Chinese Control and Decision Conference (CCDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f80634553f319d117cecb2ade30e7eac
https://doi.org/10.1109/ccdc52312.2021.9601622
https://doi.org/10.1109/ccdc52312.2021.9601622
Publikováno v:
International Journal of Electrical Power & Energy Systems. 103:67-74
The paper proposes a method to analyze root causes of occurring alarms, for a special type of alarm variables in thermal power plants, where alarms are arisen from binary-valued root-cause variables. A Bayesian network with one child node and multipl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80fe7fbd18af7bae0afe13a8c19e77db
https://doi.org/10.1016/j.ijepes.2018.05.029
https://doi.org/10.1016/j.ijepes.2018.05.029
Publikováno v:
International Journal of Electrical Power & Energy Systems. 100:81-90
Primary frequency control (PFC) responses for thermal power generation units are concerned about whether changes of turbine rotating speeds lead to proper responses of generator active powers. A new method is proposed to estimate performance metrics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee9c4ffcf88de281208a675b815ee899
https://doi.org/10.1016/j.ijepes.2018.02.036
https://doi.org/10.1016/j.ijepes.2018.02.036
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 512:012170
In this paper, the piecewise linear function regression method based on FNN (Forward neural network)-ReLU (Rectified linear units) is used to simulate the flow curve of steam turbine valve. In the big data scenario, this method couldaccelerate the fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::040c1a0f3459cd2de895672bb345a17b
https://doi.org/10.1088/1755-1315/512/1/012170
https://doi.org/10.1088/1755-1315/512/1/012170
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 526:012153
The Multivariate State Estimation Technique (MSET) is firstly implemented as the fault detection technique for monitoring parameters of the steam turbine valve. Second, healthy operation states are remained to form a preliminary dataset for the valve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5bab67c1290afb65ce566fe143501c7
https://doi.org/10.1088/1755-1315/526/1/012153
https://doi.org/10.1088/1755-1315/526/1/012153