基于噪声信号的电弧炉冶炼氧化镁运行状态分析

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Abstract The time integral of the noise sound pressure from the electric arc furnace at a certain point in the space is related to the product of the arc current and the arc voltage.In this work,the noise data at different stages when smelting magnesium oxide with electric arc furnaces were acquired.The waveforms of the noise were converted into time-frequency diagrams.By comparing them with the fluctuation of the three phase currents and analyzing the internal correlation between the noise signal and the running states of the electric arc furnace,it is found that the sound intensity and the frequency characteristics of the noise signal from the electric arc furnace are highly correlated with its working states.The noise intensity of each characteristic frequency increases with the arc current and shows different distributions in different operation states of the electric arc furnace.This conclusion provides the basics for the subsequent work that using the noise signal to control the electric arc furnace during smelting magnesium oxide.

Key words： Electric arc furnace magnesium oxide noise signal data acquisition

Received: 06 November 2014 Published: 13 April 2015

PACS:

TM932

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	Fu You
	Wang Ninghui
	Wang Zhiqiang
	Wang Zhen
	Zhang Xiaoming

Cite this article:

Fu You,Wang Ninghui,Wang Zhiqiang等. Running State Analysis of the Electric Arc Furnace Smelting Magnesium Oxide Based on the Noise Signal[J]. Transactions of China Electrotechnical Society, 2015, 30(5): 15-22.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2015/V30/I5/15

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