Circuit breaker online monitoring and failure diagnosis device and working method thereof

A technology of fault diagnosis device and working method, applied in the direction of measuring device, testing of machine/structural components, instruments, etc., can solve the problems of influence and the working characteristics of circuit breakers are not identical, and achieve the effect of compensating for errors

Pending Publication Date: 2018-09-28
TRAINING CENT OF ANHUI ELECTRIC POWER +6
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the on-line monitoring and fault diagnosis methods of mechanical characteristics have the problem that they are greatly affected by the surrounding strong electromagnetic field, and the differences between circuit breakers and the differences in the environment make the working characteristics of the circuit breakers not completely the same. In order to achieve the effect of stable monitoring of circuit breakers, it is required to improve the algorithm for processing data

Method used

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  • Circuit breaker online monitoring and failure diagnosis device and working method thereof
  • Circuit breaker online monitoring and failure diagnosis device and working method thereof
  • Circuit breaker online monitoring and failure diagnosis device and working method thereof

Examples

Experimental program
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Effect test

Embodiment 1

[0034] see figure 1 and 2 As shown, a circuit breaker online monitoring and fault diagnosis device includes a central processing unit 101 and a power supply 102 connected thereto, an RTC timer 103, a reset circuit 104, a displacement sensor 105, an analog / digital converter 106, a voice module 107, RS485 interface 108, RS232 interface 109, JTAG interface 110, digital input interface 111, alarm circuit 112, SRAM113 and EEPROM114.

[0035] The central processing unit 101 is a control chip for signal acquisition and processing, and adopts a TMS320F28335 chip produced by TI Company.

[0036] The displacement sensor 105 is used to measure the stroke-time characteristic of the circuit breaker, using a WDL25-2 straight-sliding conductive plastic potentiometer. Its output terminal is connected to the input terminal of the analog / digital converter 106 .

[0037] The analog / digital converter 106 completes the analog / digital conversion of the signal collected by the sensor. The parall...

Embodiment 2

[0046] Please also refer to Figure 3-5 , the working method of the circuit breaker online monitoring and fault diagnosis device, comprising the following steps:

[0047] Step A: Obtain the signal of opening and closing of the circuit breaker.

[0048] Step B: receiving the speech segment input, and extracting the speech feature parameter F1, which is 12-Vermel frequency cepstral coefficient.

[0049] Step C: Receive the output signal of the displacement sensor, obtain the mechanical characteristic parameters F2 of the vacuum circuit breaker: closing and opening time, contact travel, opening distance, overtravel, closing and opening average speed, and just closing and opening speed, and pass RS485 transmission to the host computer.

[0050] Step D: Obtain 18-dimensional feature parameters Input the feature parameter F3 into the trained state recognition model to determine which state recognition model is the best match, select the corresponding circuit breaker working stat...

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Abstract

The invention relates to a circuit breaker online monitoring and failure diagnosis device and a working method thereof. The device comprises a central processing unit, a power supply, an RTC (real-time clock) timer, a reset circuit, a displacement sensor, an analog / digital converter, a voice module, a JTAG (joint test action group) interface, an on-off input interface, an alarm circuit and the like. An idea for analyzing the running state of a circuit breaker by combining a mechanical characteristic method and a voice information method includes that characteristic parameters of the mechanicalcharacteristic method and a voice information analysis method are combined into a new characteristic parameter on a characteristic parameter layer, the new characteristic parameter is inputted to a trained gaussian mixed model to judge a model in which running state that the circuit breaker is closer to, accordingly, the running state of the circuit breaker is judged, parameters the most directlyreflecting the state of the circuit breaker are retained by the idea, voice characteristic parameters not easily affected by external environments are introduced, and running state online accurate monitoring and failure diagnosis of the circuit breaker are guaranteed.

Description

technical field [0001] The invention relates to an embedded voice information analysis method and device, belonging to the technical field of voice recognition, in particular to a circuit breaker online monitoring and fault diagnosis device and its working method. Background technique [0002] The circuit breaker has a wide range of applications, and its working status affects the working stability of the entire power system. Nowadays, the maintenance method of power equipment has changed. It is no longer based on the number of operations of the equipment, but on the status of the equipment. This means that online monitoring of the status of the circuit breaker has become very important. [0003] Statistics show that the operating mechanism of a circuit breaker is a common place for problems to occur, and mechanical characteristics are the main cause of most circuit breaker failures. After decades of research and development, the monitoring methods of circuit breakers have ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/00G10L15/06G10L25/18G10L25/24G10L25/51
CPCG10L15/063G10L25/18G10L25/24G10L25/51G01M13/00
Inventor 于传黄永明刘静张吉辉周密舒永志康臣唐毅
Owner TRAINING CENT OF ANHUI ELECTRIC POWER
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