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Circuit breaker fault detection device and multiple-data fusion fault detection method

A circuit breaker fault detection device technology, which is applied in the direction of circuit breaker testing, measuring devices, testing of machines/structural components, etc., can solve the problem that the working characteristics of circuit breakers are not exactly the same and affect them

Pending Publication Date: 2019-06-11
TRAINING CENT OF ANHUI ELECTRIC POWER +5
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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 fault detection device and multiple-data fusion fault detection method
  • Circuit breaker fault detection device and multiple-data fusion fault detection method
  • Circuit breaker fault detection device and multiple-data fusion fault detection method

Examples

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Effect test

Embodiment 1

[0110] see figure 1 with 2 As shown, a circuit breaker fault detection device includes a central processing unit 101 and a power supply 102 connected thereto, an RTC timer 103, a reset circuit 104, a SRAM 105, an EEPROM 106, a digital input interface 107, an alarm circuit 108, an RS485 interface 109, RS232 interface 110 , JTAG111 , displacement sensor 112 , vacuum transmitter 113 , analog-to-digital converter 114 , voice module 115 and acceleration sensor 116 .

[0111] The central processing unit 101 is a control chip for signal acquisition and processing, and adopts a TMS320F28335 chip produced by TI Company.

[0112]The output terminals of the displacement sensor 112 and the vacuum transmitter 113 are connected to the input terminal of the analog / digital converter 114, and the parallel interface of the analog / digital converter 114 is connected with the data bus of the processor 101, wherein the chip select terminal is connected with the XZCS0 of the processor 101 Connecte...

Embodiment 2

[0119] Please also refer to Figure 3-5 , a multiple data fusion fault detection method comprising the following steps:

[0120] Step A: Obtain the signal of opening and closing of the circuit breaker.

[0121] Step B: receiving the speech segment input, and extracting the speech feature parameter F1, which is 12-Vermel frequency cepstral coefficient.

[0122] Step C: Receive the output signal of the displacement sensor, and obtain the mechanical characteristic parameters F2 of the vacuum circuit breaker: closing (opening) time, contact stroke, opening distance, overtravel, closing (opening) average speed and just closing and opening speed.

[0123] Step D: Receive the output signal of the vacuum transmitter, and obtain the vacuum degree parameter F3 of the vacuum circuit breaker.

[0124] Step E: Receive the output signal of the acceleration sensor, and obtain the characteristic parameter F4 of the 5-dimensional vibration signal of the circuit breaker.

[0125] Step F: Obt...

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Abstract

The invention discloses a circuit breaker fault detection device and multiple data fusion fault detection methods, and relates to the technical field of the model classification analysis. The detection device comprises a central processing unit and a connected power supply, a RTC timer, a reset circuit, a SRAM, an EEPROM, a switching value input interface, an alarm circuit, a RS485 interface, a RS232 interface, a JTAG, a displacement sensor, a vacuum transmitter, an analog-to-digital converter, a voice module and an acceleration sensor. The circuit breaker fault detection method integrating with the mechanical features, the voice, the vacuum degree, the vibration signal and like methods is proposed, the circuit breaker mechanical feature parameter, the voice information feature parameter,the vacuum degree parameter, and the vibration signal feature quantity are combined to obtain the multi-feature quantity parameter which is identified, the mechanical states of the circuit breaker canbe reflected more accurately and comprehensively.

Description

technical field [0001] The invention relates to the technical field of model classification analysis, in particular to a circuit breaker fault detection device and a multiple data fusion fault detection 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. There are many methods to realize online monitoring of circuit breaker mechanical characteristics, such as spectrum analysis, infrared analysis, ...

Claims

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Application Information

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IPC IPC(8): G01M13/00G01R31/327G01H17/00
Inventor 于传黄永明周密康臣王文林张吉辉程鳌朱海强刘亮徐华陈银
Owner TRAINING CENT OF ANHUI ELECTRIC POWER
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