本文選題：隨機(jī)共振　切入點(diǎn)：微弱信號(hào)檢測(cè)　出處：《天津大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

【摘要】：在機(jī)械故障診斷領(lǐng)域中,微弱信號(hào)檢測(cè)技術(shù)得到了越來越多的重視。在故障發(fā)生的早期階段,故障的特征往往隱藏在背景噪聲中,難以被察覺出來,為事故發(fā)生埋下隱患。傳統(tǒng)的檢測(cè)方法往往認(rèn)為噪聲是微弱信號(hào)檢測(cè)中的不利因素,但隨著微弱信號(hào)檢測(cè)技術(shù)日趨發(fā)展成熟,人們發(fā)現(xiàn)在某些非線性系統(tǒng)中,噪聲的加入反而會(huì)增加信號(hào)的信噪比,這就是隨機(jī)共振現(xiàn)象。在過去的二十年中,隨機(jī)共振理論及研究不斷發(fā)展,在微弱信號(hào)檢測(cè)領(lǐng)域有著突出的表現(xiàn)。 本文以隨機(jī)共振在機(jī)械故障檢測(cè)中的應(yīng)用為目的,分析了隨機(jī)共振在工程應(yīng)用中的局限性,并且針對(duì)這些局限性提出了解決方法,并以軸承故障信號(hào)為例,將隨機(jī)共振應(yīng)用于機(jī)械故障檢測(cè)之中。 本文的主要研究?jī)?nèi)容包括: 1.分析了隨機(jī)共振理論在應(yīng)用于工程實(shí)踐中時(shí)可能碰到的問題,分別討論了信號(hào)幅值、噪聲強(qiáng)度及信號(hào)頻率不滿足隨機(jī)共振理論中限制條件時(shí)對(duì)隨機(jī)共振檢測(cè)結(jié)果的影響,并逐一針對(duì)這些限制條件提出了解決方法。 2.通過實(shí)驗(yàn)仿真的方法,分析了隨機(jī)共振中的非線性響應(yīng)現(xiàn)象,并研究了非線性響應(yīng)對(duì)隨機(jī)共振在微弱信號(hào)檢測(cè)中帶來的影響。 3.分析了多個(gè)頻率驅(qū)動(dòng)信號(hào)情況下的隨機(jī)共振現(xiàn)象,并研究了多頻信號(hào)對(duì)隨機(jī)共振檢測(cè)效果的影響。 4.根據(jù)以上的分析,提出了隨機(jī)共振前處理的概念,使得信號(hào)在經(jīng)過前處理后滿足隨機(jī)共振現(xiàn)象產(chǎn)生的條件,以達(dá)到合理檢測(cè)微弱信號(hào)的目的。 5.研究了隨機(jī)共振對(duì)沖擊信號(hào)的檢測(cè)能力,之后分析了滾動(dòng)軸承故障信號(hào)的特征,結(jié)合共振解調(diào)法,成功地提取出了淹沒在強(qiáng)噪聲中的故障特征頻率,驗(yàn)證了隨機(jī)共振在故障診斷領(lǐng)域中的實(shí)用性和有效性。
[Abstract]:In the field of mechanical fault diagnosis, more and more attention has been paid to the weak signal detection technology. In the early stage of the fault, the fault features are often hidden in the background noise, which is difficult to detect. Traditional detection methods often think that noise is a disadvantage factor in weak signal detection, but with the development of weak signal detection technology, it is found that in some nonlinear systems, In the past two decades, the theory and research of stochastic resonance have been developing continuously, and it has been outstanding in the field of weak signal detection. Aiming at the application of stochastic resonance in mechanical fault detection, this paper analyzes the limitations of stochastic resonance in engineering application, and puts forward a solution to these limitations, and takes the bearing fault signal as an example. Stochastic resonance is applied to mechanical fault detection. The main contents of this paper are as follows:. 1. The problems that may be encountered in the application of stochastic resonance theory in engineering practice are analyzed. The effects of signal amplitude, noise intensity and signal frequency on the detection results of stochastic resonance are discussed when the limited conditions of stochastic resonance theory are not satisfied. The solutions to these limitations are put forward one by one. 2. The phenomenon of nonlinear response in stochastic resonance is analyzed by the method of experimental simulation, and the influence of nonlinear response on the weak signal detection of stochastic resonance is studied. 3. The phenomenon of stochastic resonance in the case of multiple frequency driving signals is analyzed, and the influence of multi-frequency signal on the detection effect of stochastic resonance is studied. 4. According to the above analysis, the concept of stochastic resonance pre-processing is put forward, which makes the signal satisfy the condition of producing stochastic resonance after pre-processing, so that the weak signal can be detected reasonably. 5. The detection ability of stochastic resonance to impact signal is studied, then the characteristics of rolling bearing fault signal are analyzed, and the frequency of fault characteristic submerged in strong noise is extracted successfully by the method of resonance demodulation. The practicability and validity of stochastic resonance in fault diagnosis are verified.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TH165.3

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