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Research Of Slag Detection Method Based On The Vibration

Posted on:2011-03-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y G ZhaoFull Text:PDF
GTID:2251330425491719Subject:Control engineering
Abstract/Summary:PDF Full Text Request
This paper mainly introduces the research work of Tianjin steel Co., LTD system (?)SD2000Ladle-Tundish slag detection. After lots of investigation of the internal and (?)xternal slag detection technology and data analysis, the dissertation brings forward (?)adle-Tundish slag detection method using vibration measurements and analyzes the characteristic of the molten steel vibration signal. According to the characteristic the nethod of slag characteristic parameter identification is brought out. The method of the signal processing includes Time analysis, Frequency analysis and the Wavelet analysis. Based on the thesis, the software of slag detection using vibration measurements is ieveloped. And the method of slag detection using vibration measurements is proved true and achieves the reconverting aim.The dissertation includes some parts and the contents are as follow:First of all, the conception of slag detection technology is elaborated, then the survey of the development of the slag detection technology domestically and abroad is given. In the following, The Ladle-Tundish slag detection using vibration measurements is brought out. And the research background and main points of the dissertation is introduced.Secondly, safe casting and the composing of bearing structure is introduced. And the vibration mathematical model of bearing structure is brought out. At the same time, the main factor influencing the vibration is discussed.Again, the general principle of wavelet is introduced. And the advantage of Wavelet in slag vibration signal processing is discussed. The wavelet method of vibration signal processing is brought out. And using this method the slag characteristic parameter is brought out.Then, mainly for the artificial neural network theory and various types of network is presented, and the BP neural network learning processes are described in detail, using BP neural network to establish a pattern recognition system.Finally, the work of the dissertation is summarized and the further research work is looked ahead.
Keywords/Search Tags:vibration, slag detection, wavelet analysis, the BP network
PDF Full Text Request
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