Transformer fault sound source positioning method and system based on microphone array

A microphone array and transformer failure technology, applied in the field of transformers, can solve the problems of high labor cost, reliability, repeatability, accuracy, rough fault location, etc., and achieve the effect of easy maintenance and repair

Pending Publication Date: 2022-04-01
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD SHAOXING POWER SUPPLY CO
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current on-site inspection operation method is to use experienced technicians to put their ears close to the transformer box, carefully listen to the sound signal inside the transformer to judge the operation status of the transformer, find out the type of fault, and even roughly locate the fault. There are certain problems in the reliability, repeatability and accuracy of the detection method, and the required labor cost is also high. Therefore, the present invention provides a method and system for locating the sound source of a transformer fault based on a microphone array

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
  • Transformer fault sound source positioning method and system based on microphone array
  • Transformer fault sound source positioning method and system based on microphone array
  • Transformer fault sound source positioning method and system based on microphone array

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0040] see figure 1 and figure 2 , the present invention provides a technical solution: a method for locating a sound source of a transformer fault based on a microphone array, comprising the following steps:

[0041] S1. Obtain the acoustic signal x(t) at the measurement surface through the microphone array;

[0042] S2. Use the improved multi-scale morphological filter to perform noise suppression on the acoustic signal x(t), and obtain the filtered denoising signal That is, the transformer equipment in a pure state radiates noise signals. Since there is often more than one kind of interference noise in the sound field where the actual transformer equipment is located, and the interference noise in the acoustic signal x(t) is usually random, therefore, it is necessary to use multi-scale The different structural elements of construct the morphological filter to avoid serious filter output statistical shift:

[0043] The noise suppression step includes: S21, performing me...

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 transformer fault sound source positioning method and system based on a microphone array. The method comprises the following steps: S1, acquiring a sound signal x (t) at a measurement surface through the microphone array; s2, performing noise suppression on the sound signal x (t) by using an improved multi-scale morphological filter to obtain a filtered de-noised signal, namely a transformer equipment radiation noise signal in a pure state; S3, performing time domain statistical analysis and spectral analysis on the de-noised signal, and comparing the de-noised signal with historical data in a healthy acoustics database; and searching in a fault acoustic database, and outputting a fault type and a fault position corresponding to the frequency band, thereby realizing the purposes of fault judgment and positioning of the transformer equipment. According to the invention, through combination of computer hardware and the cloud AI analysis and diagnosis system, end-to-end state monitoring, health management and life prediction of the transformer are realized, and an optimal solution is provided for maintenance and management of the transformer.

Description

technical field [0001] The invention relates to the technical field of transformers, in particular to a method and system for locating transformer fault sound sources based on microphone arrays. Background technique [0002] As one of the important power equipment in the power system, the transformer undertakes key tasks such as voltage conversion in the system, distribution and transmission of substation power, and plays an important role in ensuring the safe, reliable, high-quality and economical operation of the power system. [0003] The internal structure of the transformer is very complex, with a wide variety of components, including three-phase oil-immersed transformers, which consist of three-phase primary and secondary windings, iron cores, oil tanks, bases, high-voltage and low-voltage bushings, radiators (coolers), and oil purifiers. , oil conservator, gas relay, safety airway, thermometer, tap changer and other related components and accessories. At the same time...

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): G01S5/22G01R31/00
Inventor 沈祥朱义勇许飞许海峰王军慧赵伟苗徐龙王志亮蔡继东倪钱杭李丰盛江
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD SHAOXING POWER SUPPLY CO
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