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A system and method for predicting noise of single-phase oil-immersed transformer

A transformer and single-phase oil technology, applied in the field of noise estimation, can solve the problem of no transformer noise estimation

Active Publication Date: 2020-04-24
CHINA ELECTRIC POWER RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is no system or method for estimating transformer noise in the prior art

Method used

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  • A system and method for predicting noise of single-phase oil-immersed transformer
  • A system and method for predicting noise of single-phase oil-immersed transformer
  • A system and method for predicting noise of single-phase oil-immersed transformer

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Embodiment Construction

[0040] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0041] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or over...

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Abstract

The invention discloses a noise pre-estimating system for pre-estimating noise of a single-phase oil-immersed transformer. The system includes a transformer component finite element unit for determining a solid unit stiffness matrix KS, a damping matrix CS and a mass matrix MS relevant to a solid; a fluid acoustic finite element unit which establishes a fluid acoustic finite element equation according to air parameters out of a box and a transformer internal fluid field; a solid and fluid coupling unit which establishes a solid and fluid coupling dynamic equation; a test unit which includes an optical fiber accelerometer, an acquisition instrument and a sound meter; an electromagnetic excitation analog input unit to which excitation vectors of a plurality of harmonic components of a solid structure are applied; and a data correction unit which takes the solid and fluid coupling dynamic equation as a pre-estimating model, and uses an acoustic model and a difference to calculate the coupling dynamic equation so as to obtain a sound pressure of a sensitive point.

Description

technical field [0001] The present invention relates to the field of noise estimation, and more specifically, to a system and method for estimating the noise of a single-phase oil-immersed transformer. Background technique [0002] With the rapid development of cities, especially the improvement of people's living standards, the per capita electricity consumption has risen sharply, and the demand for electricity has been rising rapidly year by year. The power supply is becoming increasingly scarce, and the demand for the number of substations is increasing year by year. The urban densely populated areas are actually areas with extremely high loads. Therefore, the site selection of most substations must go deep into the load center, resulting in excessive noise levels in residential areas, schools, hospitals and other environmentally sensitive areas, seriously affecting the work and life of surrounding residents. . The impact of substation operation noise on the surrounding ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01H9/00G01H11/06
CPCG01H9/002G01H9/004G01H11/06
Inventor 马裕超莫娟樊宝珍肖树许志勇徐金张霞房正刚冯国巍
Owner CHINA ELECTRIC POWER RES INST
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