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

Breaker mechanical fault XGBoost diagnosis method based on time domain characteristics

A time-domain feature and mechanical fault technology, applied in circuit breaker testing, mechanical component testing, instruments, etc., can solve problems such as difficulty in obtaining training samples, few types and degrees of mechanical faults, etc., and achieve high classification accuracy. Effect

Pending Publication Date: 2020-02-14
HANGZHOU ELECTRIC EQUIP MFG +2
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the few types and degrees of mechanical faults in HVCB, it is difficult to obtain training samples covering all faults. Therefore, higher requirements are placed on the classification effect of the classifier.

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
  • Breaker mechanical fault XGBoost diagnosis method based on time domain characteristics
  • Breaker mechanical fault XGBoost diagnosis method based on time domain characteristics
  • Breaker mechanical fault XGBoost diagnosis method based on time domain characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0072] 1. Vibration signal acquisition of high voltage circuit breaker

[0073] Taking the LW9-72.5 type SF6HVCB of the spring operating mechanism as an example, the piezoelectric acceleration sensor and the NI9234 data acquisition card are used to collect and record vibration signal data to form a signal acquisition system. The coordinate zero point of the sampling signal is the moment when the circuit breaker will act (the trigger card sends a signal acquisition command for the signal acquisition card), the signal sampling rate is set to 25.6kS / s, and the starting point of the vibration signal recording in the four mechanical states is the same as the time length of the acquisition signal .

[0074] Figure 1 to Figure 4 They are the measured vibration signals collected by the system in the normal state, iron core jamming state, screw loosening state, and crank arm arm lubrication insufficient state. Compared with the normal signal, the maximum amplitude of the iron core ja...

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 breaker mechanical fault XGBoost diagnosis method based on time domain characteristics, and belongs to the technical field of high-voltage breaker mechanical fault judgment.According to the invention, signal acquisition is carried out on vibration of the high-voltage circuit breaker in four mechanical states including a normal state, an iron core jamming state, a screw loosening state and a crank arm insufficient lubrication state; an XGBoost fault state classifier is trained through the collected data, and after training is completed, a vibration signal generated byan action is analyzed to be used for judging the state of the high-voltage circuit breaker. The XGBoost classification precision is high, parallel processing can be carried out, the portability is high, and over-fitting can be effectively prevented.

Description

technical field [0001] The invention belongs to the technical field of high-voltage circuit breaker mechanical fault judgment, and in particular relates to a XGBoost extreme gradient boosting diagnosis method for circuit breaker mechanical faults based on time-domain characteristics. Background technique [0002] With the development of the power Internet of Things, the importance of power equipment condition monitoring and fault diagnosis continues to increase. Among them, high voltage circuit breakers (High Voltage Circuit Breakers, HVCBs) are widely used in power systems and have complex internal structures. The fault signal acquisition is easily affected by external conditions, and the fault diagnosis is difficult. [0003] Traditional vibration signal features include time domain features, frequency domain features, and time-frequency domain features. HVCBs vibration signal processing mostly uses time-frequency domain analysis methods. In the commonly used time-frequen...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G01M13/00G01R31/327
CPCG01M13/00G01R31/3275G06F2218/08G06F2218/12G06F18/24323
Inventor 戚佳金陈建新黄南天高旭吕峻江奕军王丽群吴非斐王根明俞曙江雍继磊
Owner HANGZHOU ELECTRIC EQUIP MFG