Method for Determining Arc Discharge as well as Failure of Mechanical Vibration and Abnormal Displacement in Power Equipment Using Acoustic Energy Feature

a technology of acoustic energy feature and arc discharge, which is applied in the direction of instruments, specific gravity measurement, furniture, etc., can solve the problems of affecting the accuracy of determination, inability to determine the operating condition, and inability to reflect mechanical performan

Inactive Publication Date: 2014-08-07
WANG LEE TZU FENG
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  • Abstract
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  • Claims
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AI Technical Summary

Benefits of technology

The inventor has discovered an audio signal emitted by electric devices during operation can cause harmful vibrations or movements similar to those caused when they are being used. This allows them to detect any issues with their performance before it becomes too severe. By analyzing this data over time, researchers have been able to identify potential problems early enough allowing preventive measures such as shutting down certain parts of these machines.

Problems solved by technology

The technical problem addressed in this patents relates to developing a new type of testing system capable of accurately detecting electrical devices' behavior without causing harm due to factors like environmental conditions such as weather or voltage fluctuations. This would allow researches to better determine how long it takes to recover from failures while also reducing costs associated with maintaining equipment.

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  • Method for Determining Arc Discharge as well as Failure of Mechanical Vibration and Abnormal Displacement in Power Equipment Using Acoustic Energy Feature
  • Method for Determining Arc Discharge as well as Failure of Mechanical Vibration and Abnormal Displacement in Power Equipment Using Acoustic Energy Feature
  • Method for Determining Arc Discharge as well as Failure of Mechanical Vibration and Abnormal Displacement in Power Equipment Using Acoustic Energy Feature

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Embodiment Construction

[0020]A method for determining arc discharge as well as failure of mechanical vibration and abnormal displacement in power equipment using acoustic energy feature devised in the present invention is based on principles, the first one of which is the utilization of acoustic wave and vibration wave, in such a way that power equipment may be inspected to determine arc discharge and mechanical failure therein. A transformer is a “heart” of a substation. Taking the transformer as an example, the vibration of the main body of the transformer is determined by the vibration of core entirely, while the vibration of core may be approximated to magnetostriction of silicon steel. The magnetostrictive vibration of core may be transmitted to the wall of oil tank via two paths through either the pad of core or insulating oil medium, such that acoustic wave may be generated by the vibration of wall of oil tank and then emitted in all directions. It is demonstrated that, in the research on several (110

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Abstract

The present invention provides a method for determining arc discharge as well as failure of mechanical vibration and abnormal displacement in power equipment using acoustic energy feature. Here, acoustic energy feature is firstly introduced to realize real-time, online inspection of failure in power equipment, enabling qualitative determination of discharge as well as mechanical vibration and abnormal displacement, so as to improve early warning before damage. Two factors, in which one is early detection of discharge, and the other is early detection of mechanical vibration and abnormal displacement, are considered. When abnormality of any one of these factors is emerged, it is demonstrated that hidden trouble is presented. Here, acoustic energy feature is used to perform real-time, online monitoring. Due to reliable diagnosis and strong interference resistance provided by sound source signals, the operating condition in which the equipment is situated may be reflected clearly, avoiding damage to electric power grid.

Description

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Claims

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Application Information

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Owner WANG LEE TZU FENG
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