Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Permanent magnetic mechanism high voltage vacuum circuit breaker fault mode identification method

A vacuum circuit breaker and identification method technology, which is applied in the direction of circuit breaker testing, instruments, measuring devices, etc., can solve the problems of low fault mode recognition accuracy and incomplete acquisition of fault information of high-voltage vacuum circuit breakers with permanent magnet mechanisms, etc., to achieve The effect of improving classification recognition accuracy, improving generalization ability, and avoiding noise interference

Active Publication Date: 2016-12-07
TAIYUAN UNIV OF TECH
View PDF6 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Aiming at the deficiencies in the prior art, the present invention aims to solve the problems of incomplete acquisition of fault information and low accuracy of fault pattern recognition of permanent magnet mechanism high-voltage vacuum circuit breakers, and provides a method for fault pattern recognition of permanent magnet mechanism high-voltage vacuum circuit breakers

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
  • Permanent magnetic mechanism high voltage vacuum circuit breaker fault mode identification method
  • Permanent magnetic mechanism high voltage vacuum circuit breaker fault mode identification method
  • Permanent magnetic mechanism high voltage vacuum circuit breaker fault mode identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The specific implementation manners of the present invention will be further described below.

[0030] A technical solution for implementing a fault pattern recognition method for a high-voltage circuit breaker with a permanent magnet mechanism includes three aspects, namely fault state information classification, state information feature extraction, and a fault classification and recognition method.

[0031] The classification of fault status information includes: control loop status information, mechanical status information, and vacuum interrupter status information.

[0032] The state information of the control loop includes closing coil current, opening coil current and energy storage capacitor voltage.

[0033] The mechanical state information includes time characteristics, stroke characteristics, speed characteristics and vibration characteristics during the opening and closing process of the circuit breaker.

[0034] The time characteristic includes 6 parts, w...

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

A permanent magnetic mechanism high voltage vacuum circuit breaker fault mode identification method comprises a fault condition information classification method, a condition information feature extraction method and a fault classification identification method. The fault information classification method is to classify permanent magnetic mechanism high voltage vacuum circuit breaker fault information into loop condition information, mechanical condition information and a vacuum extinction chamber condition information. The condition information feature extraction method is to carry out extraction in the time domain and the frequency domain for different kinds of condition information. The fault classification identification method is based on a method of support vector machine increment learning, draws on a fault sample training classification model, and continuously accumulates new samples to improve the classification identification accuracy. The invention solves problems that fault monitoring information acquisition is not comprehensive and the fault identification accuracy is low, effectively identifies common faults of a permanent magnetic mechanism high voltage vacuum circuit breaker, and has a guiding effect for breaker condition based maintenance and fault diagnosis.

Description

technical field [0001] The invention relates to a state monitoring and fault diagnosis of a high-voltage circuit breaker, in particular to a fault pattern recognition method of a high-voltage vacuum circuit breaker. Background technique [0002] The high-voltage vacuum circuit breaker is a kind of high-voltage switchgear, and its function is to respond to control commands, switch on or off loads or lines, and ensure the safe and reliable operation of the power system. As the installed capacity of the power system continues to increase, the number of circuit breakers is also increasing. Due to its simple structure and long stable operation time, vacuum circuit breakers have been widely used in recent years. The permanent magnet mechanism means that the operating mechanism of the circuit breaker is a permanent magnet structure. Because its mechanical characteristics are more consistent with the opening and closing process of the circuit breaker, and the price is cheap, it has...

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): G01R31/327
CPCG01R31/3275
Inventor 耿蒲龙许春雨赵钰宋建成
Owner TAIYUAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products