Method for monitoring and evaluating actual state of MOV based on outlier detection

An actual state, outlier technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve problems such as affecting the quality of the final solution, and achieve the effect of reducing the difficulty of execution, strengthening effective methods, and strengthening monitoring and maintenance.

Inactive Publication Date: 2020-03-06
NANJING UNIV OF INFORMATION SCI & TECH
View PDF7 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, the combination of data and algorithms has become a new research method. Yang Zhongjiang et al. have proposed MOV online monitoring based on genetic algorithms, and can monitor the performance during the period by optimizing the parameters reflecting device degradation in the equivalent

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
  • Method for monitoring and evaluating actual state of MOV based on outlier detection
  • Method for monitoring and evaluating actual state of MOV based on outlier detection
  • Method for monitoring and evaluating actual state of MOV based on outlier detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0048] Local Outlier Factor (LOF) is an efficient method based on performing outlier detection on moderately high-dimensional datasets. Its main purpose is to detect abnormal data or behaviors that are quite different from normal data behaviors or characteristic attributes. The algorithm reflects the degree of abnormality of a set of sample data based on the characteristic parameter of "local reachable density". If the local reachable density of this set of data points is higher, the point is more likely to be an outlier. For the monitoring and evaluation of the actual state of MOV, it means that this method can be used to combine a large number of MOV multi-parameter sampling data to train a model to learn the distribution of normal parameter data, and use this learned distribution to detect the data that cannot be detected. The outlier parameter data fit to ...

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 method for monitoring and evaluating the actual state of an MOV based on outlier detection. The method comprises the steps of: carrying out the sampling of various actual parameters at different time points at the moment of the operation of the MOV for several times, and forming an original data set; performing principal component analysis on the original data set to reduce the dimension of the collected features, and achieving visualization on the two-dimensional or three-dimensional level; then, calculating a distance between two adjacent points in the data set after PCA, a kth distance, a kth distance neighborhood, a reachable distance and a local reachable density according to a local abnormal factor; and finally, calculating a local outlier factor to obtain an outlier detection evaluation result of any sampling data of the MOV. According to the invention, the executable difficulty of traditional online monitoring is reduced, the method for monitoring andevaluating the actual state of the MOV based on outlier detection has the higher industrial application value, enhances the effective way of monitoring and maintaining the lightning protection deviceby people, and avoids the risk conditions of damage, fire, explosion and the like of an electrical system caused by abnormal operation or degradation of an MOV device.

Description

technical field [0001] The invention belongs to the field of monitoring design of lightning protection devices, in particular to a method for monitoring and evaluating the actual state of MOV based on outlier detection. Background technique [0002] Metal oxide varistor (MOV) is a resistive device with nonlinear volt-ampere characteristics. When there is a risk of lightning overvoltage, it uses voltage clamping to protect sensitive devices in the system. Therefore, it is widely used in lightning surge protection of various electrical and communication systems. In addition to threats such as lightning overvoltage and operating overvoltage during operation, MOVs are also affected by external environmental factors such as temperature and humidity, chemical pollution, and pollution, resulting in changes in electrical characteristics and physical states. This will lead to abnormal volt-ampere characteristics of the MOV, a decrease in thermal stability, and even thermal collapse ...

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): G01R31/00G06F17/16
CPCG01R31/00G01R31/003G06F17/16
Inventor 杨仲江马俊彦王昊
Owner NANJING UNIV OF INFORMATION SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap