Search citation statements

Paper Sections

Select...

4

1

Citation Types

0

5

0

Year Published

2017

2020

Publication Types

Select...

3

Relationship

0

3

Authors

Journals

(4 citation statements)

(4 reference statements)

0

5

0

“…By comparing the usage frequency of U 、 R 、 H and considering the effect of classification, according to Table 1, the judgment matrix A can be got as (4) shows. 1 2 2 1 / 2 1 2 1 / 2 1 / 2 2 A (4) Where, the rank of the indexes is U, R, and H. Then eigenvalues of A were calculated and the weight vector was got as w={0.4934 0.3108 0.1958}. The consistency of it satisfied the requirement: CR=CI/0.52=0.0515<0.1.…”

confidence: 99%

“…By comparing the usage frequency of U 、 R 、 H and considering the effect of classification, according to Table 1, the judgment matrix A can be got as (4) shows. 1 2 2 1 / 2 1 2 1 / 2 1 / 2 2 A (4) Where, the rank of the indexes is U, R, and H. Then eigenvalues of A were calculated and the weight vector was got as w={0.4934 0.3108 0.1958}. The consistency of it satisfied the requirement: CR=CI/0.52=0.0515<0.1.…”

confidence: 99%

“…Recently, studies on classification or recognition of voltage sag disturbance sources tend to use frequency domain transform methods (such as S transform, Hilbert-Huang transform, wavelet transform and so on) in order to extract features of voltage sags which followed by adopting different classification strategies to identify the disturbance sources. For instance, as for extraction of features for sags, S transform was applied in [2], wavelet transform in [3][4], and Hilbert-Huang transform in [5].…”

confidence: 99%

“…Pattern recognition uses a classification algorithm to design a classifier for determining the voltage sag causes of the disturbance signals. Common methods include neural network [11][12][13], support vector machine [14], principal component analysis reduction [15], fuzzy comprehensive evaluation [16], label propagation [17], etc. Although these methods have obtained good performance, they require the setting of several threshold levels, human expert knowledge or extracting the fundamental frequency component, which will result in an incomplete description of the data.…”

confidence: 99%

“…[3]- [4]), detection and identification (e.g. [5]-[8]) of voltage sags. In [3], the voltage sag events obtained from surveys in medium and low voltage networks were classified.…”

confidence: 99%