本文選題：耐火材料　切入點：聲發(fā)射源信號恢復　出處：《武漢科技大學》2015年碩士論文　論文類型：學位論文

【摘要】：耐火材料是一種爐襯材料，它廣泛用于冶金、化工、石油、機械制造、硅酸鹽、動力等工業(yè)領域，在冶金工業(yè)中用量最大，占總產量的50％～60％。耐火材料是否可靠直接關系到高爐的安全性和可靠性，因此，，有必要對耐火材料進行安全檢測，這對于保障高爐結構安全和避免重大安全事、提高產品質量等等具有重大意義和應用價值。近年來，聲發(fā)射技術和壓電傳感技術在狀態(tài)監(jiān)測和無損檢測領域得到了廣泛應用，已取得了突破和重要科研成果，本文在以往專家學者的研究基礎上，采用盲反卷算法對聲發(fā)射信號傳播過程失真問題進行了研究，并用壓電主動傳感技術進行了驗證，最后對該方法的適用性進行了分析。 本文的主要研究內容有： (1)針對耐火材料聲發(fā)射信號傳播過程發(fā)生衰減、散射等失真問題，設計實驗裝置，基于傳播路徑為線性系統(tǒng)這一前提，由斷鉛信號模擬耐火材料聲發(fā)射信號，采用盲目反卷積算法直接由接收信號對傳播路徑的沖擊響應函數進行估計，設計濾波器恢復聲發(fā)射源信號。 (2)對聲發(fā)射信號傳播路徑的沖擊響應函數進行盲反卷估計，發(fā)現對于不同的傳播路徑頻響曲線存在差異，表現為高頻成分衰減較低頻快，此外由于聲發(fā)射探頭的諧振作用，頻響曲線在150kHz處有明顯峰值。 (3)設計實驗驗證盲反卷方法的可行性，利用壓電陶瓷片產生頻率及幅值確定的輸入信號，由輸入輸出信號計算傳播路徑的傳遞函數，發(fā)現盲反卷算法在辨識未知的線性系統(tǒng)時具有一定可靠性，同時對盲反卷恢復的效果進行了實驗驗證。 (4)對耐火材料三點彎曲實驗聲發(fā)射信號進行盲反卷恢復，得到其能譜系數，對比恢復前后信號各頻段的頻率成分，為耐火材料損傷狀態(tài)的準確判斷提供參考。
[Abstract]:Refractory is a kind of lining material. It is widely used in metallurgy, chemical industry, petroleum, mechanical manufacturing, silicate, power industry and so on. Whether the refractories are reliable or not is directly related to the safety and reliability of the blast furnace. Therefore, it is necessary to carry out safety tests on the refractories, which is necessary to ensure the safety of the structure of the blast furnace and to avoid major safety incidents. In recent years, acoustic emission technology and piezoelectric sensing technology have been widely used in the field of state monitoring and nondestructive testing. In this paper, based on previous research by experts and scholars, the distortion problem of acoustic emission signal propagation is studied by blind deconvolution algorithm, and verified by piezoelectric active sensing technology. Finally, the applicability of the method is analyzed. The main contents of this paper are as follows:. 1) aiming at the distortion of acoustic emission signal propagation of refractories such as attenuation and scattering, an experimental device is designed. Based on the premise that the propagation path is linear, the acoustic emission signals of refractories are simulated by lead broken signals. Blind deconvolution algorithm is used to estimate the impulse response function of the propagation path directly from the received signal, and a filter is designed to recover the acoustic emission source signal. 2) Blind deconvolution estimation of impulse response function of acoustic emission signal is carried out. It is found that there are differences in frequency response curves for different propagation paths, which shows that the attenuation of high frequency component is faster than that of low frequency, in addition, because of the resonance effect of acoustic emission probe, The frequency response curve has obvious peak value at 150 kHz. The feasibility of blind deconvolution method is verified by designing experiments. The input signal determined by frequency and amplitude is generated by piezoelectric ceramic chip, and the transfer function of propagation path is calculated by input and output signal. It is found that the blind deconvolution algorithm is reliable in identifying unknown linear systems, and the effectiveness of blind deconvolution recovery is verified by experiments. (4) the acoustic emission signal of three-point bending experiment of refractories is recovered by blind deconvolution, the energy spectrum coefficient is obtained, and the frequency components of each frequency band of the signal before and after recovery are compared, which provides a reference for the accurate judgement of damage state of refractories.
【學位授予單位】：武漢科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TQ175.1

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