Unlock instant, AI-driven research and patent intelligence for your innovation.

Power quality disturbance (PQD) feature extraction method based on t-SNE

A technology of power quality disturbance and extraction method, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve the problems of lost data structure, low-dimensional PQD feature space data crowding, aliasing, etc.

Inactive Publication Date: 2018-04-06
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for extracting power quality disturbance features based on t-SNE to solve the problem that the low-dimensional PQD feature space data is too crowded, prone to partial aliasing, and loss of the original data structure

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Power quality disturbance (PQD) feature extraction method based on t-SNE
  • Power quality disturbance (PQD) feature extraction method based on t-SNE
  • Power quality disturbance (PQD) feature extraction method based on t-SNE

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in more detail below in conjunction with the drawings in the embodiments of the present invention. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all, embodiments of the invention. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0049] Data dimensionality reduction, that is, convert high-dimension...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a PQD feature extraction method based on t-SNE. According to the invention, a common PQD signal mathematical model is established, influence of a disturbance parameter and noises is taken into consideration, wavelet decomposition is used to obtain a wavelet energy vector of a signal, an original feature set is constructed, and secondary feature extraction is carried out viaa t-SNE algorithm; and low-dimensional features maintaining a high-dimensional space structure of samples and being high in sensitivity and clustering performance are obtained.

Description

technical field [0001] The invention relates to the technical field of power monitoring, in particular to a method for extracting power quality disturbance features based on t-SNE. Background technique [0002] Power quality disturbance (PQD) exists in massive power system monitoring data, and the identification of PQD based on big data and intelligence has become the research focus of electric power workers. Among them, analyzing the voltage disturbance signal and selecting the appropriate eigenvector is the key point of the PQD identification basis, and the correlation and redundancy of the eigenvector determine the recognition accuracy. Combining human visual characteristics and subjective cognition, making the results of PQD data mining interactive and intuitive, and then helpful for further analysis of complex PQD data from different visualization angles, has become a development direction in PQD research. [0003] At present, the time-frequency analysis method is gene...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/00G01R31/00
CPCG01R31/00G06F2218/06G06F2218/08
Inventor 车辚辚
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)