Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Yanping Zhang"'
Publikováno v:
IEEE Transactions on Industrial Electronics. 69:3393-3406
Due to the motor parameter mismatches, the errors of current sampling circuit, converter nonlinearities and noise, DC bias and high order harmonics exist in flux model, which make the traditional flux observer estimation inaccurate. In this paper, an
Publikováno v:
IEEE Transactions on Power Electronics. 37:4463-4474
To heighten the position estimation accuracy of sensorless control of interior permanent magnet synchronous motor (IPMSM), an improved full-order sliding mode observer (FSMO) based on novel phase-locked loop (PLL) is proposed in this article. By cont
Autor:
Zengkai Liu, Zhao Yi, Li Wenchao, Baoping Cai, Yonghong Liu, Yanping Zhang, Renjie Ji, Qiang Feng, Kong Xiangdi
Publikováno v:
Petroleum Science. 18:1813-1828
In this study, a novel safety integrity level (SIL) determination methodology of safety instrumented systems (SISs) with parameter uncertainty is proposed by combining multistage dynamic Bayesian networks (DBNs) and Monte Carlo simulation. A multista
Publikováno v:
IEEE Transactions on Power Electronics. 36:14062-14073
A traditional linear extended state observer (LESO) does not have enough capacity to handle the rapidly-varying back electromotive force (EMF). This key weakness limits the application of LESO in the internal permanent magnet synchronous motor (IPMSM
Publikováno v:
Energy Reports, Vol 7, Iss, Pp 1798-1807 (2021)
Cascade solar thermal systems provide a new direction for solar power generation. This paper focuses on the configuration optimization of a cascade solar system in which a Stirling engine array is applied. The array has multiple configurations. To fi
Publikováno v:
Neurocomputing. 458:195-203
Recommender system uses user-item historical interactions to portray user preferences. Due to the problem of data sparseness, auxiliary information is introduced to describe user preferences, such as user/item attribute information. However, some of
A non-binary hierarchical tree overlapping community detection based on multi-dimensional similarity
Publikováno v:
Intelligent Data Analysis. 25:1099-1113
Overlapping communities exist in real networks, where the communities represent hierarchical community structures, such as schools and government departments. A non-binary tree allows a vertex to belong to multiple communities to obtain a more realis
Publikováno v:
Proteins: Structure, Function, and Bioinformatics. 90:395-404
Protein-DNA interactions play an important role in biological progress, such as DNA replication, repair, and modification processes. In order to have a better understanding of its functions, the one of the most important steps is the identification o
Publikováno v:
Neurocomputing. 453:524-537
Graph convolutional neural networks (GCNs) based on spectral-domain have achieved impressive performance for semi-supervised node classification task. Recently, graph wavelet neural network (GWNN) has made a significant improvement for this task. How
Publikováno v:
Information Sciences. 562:385-397
Graph Neural Networks(GNNs) has dominated the semi-supervised node classification task by its neighborhood aggregation mechanism over traditional network embedding methods. However, GNNs still encounters with two vital problems when scales to large n