本文選題：狀態(tài)監(jiān)控與故障診斷　切入點(diǎn)：插值離散傅里葉變換　出處：《電子科技大學(xué)》2011年碩士論文

【摘要】：隨著科學(xué)技術(shù)的發(fā)展,為了滿足工業(yè)產(chǎn)品對(duì)可靠性與安全性的需求,通過對(duì)機(jī)械設(shè)備進(jìn)行故障診斷與狀態(tài)監(jiān)控來避免故障及事故的發(fā)生變得越來越重要,然而隨著機(jī)械設(shè)備的復(fù)雜程度不斷提高,將會(huì)導(dǎo)致在機(jī)械設(shè)備在運(yùn)行過程中發(fā)生多重故障,因此對(duì)于機(jī)械系統(tǒng)的多重故障特征提取也成為故障診斷領(lǐng)域研究的一個(gè)方向。在多重故障發(fā)生的情況下,將會(huì)發(fā)生頻譜疊加、相關(guān)故障頻率相近等問題。因此,關(guān)于機(jī)械故障診斷中的多頻率成分辨識(shí)方法的研究,對(duì)于機(jī)械系統(tǒng)多重故障特征提取與多重故障診斷具有重要的理論與現(xiàn)實(shí)意義。本文應(yīng)用基于最大旁瓣衰減窗口的插值離散傅里葉變換(IpDFT)方法進(jìn)行機(jī)械系統(tǒng)故障特征提取與診斷的研究,同時(shí)提出了Zoom IpDFT方法進(jìn)行兩種或幾種相近頻譜的細(xì)化分析。 在本文中,首先應(yīng)用基于最大旁瓣衰減窗口的IpDFT方法進(jìn)行軸承信號(hào)的研究,并提出了一種基于相角的頻譜疊加判定方法。通過仿真信號(hào)與真實(shí)信號(hào)的分析表明,與傳統(tǒng)的FFT方法及Zoom FFT方法相對(duì)比,基于最大旁瓣衰減窗口的IpDFT方法及Zoom IpDFT方法可以準(zhǔn)確及穩(wěn)定的進(jìn)行軸承信號(hào)的故障特征提取,并且頻譜疊加判定方法有效。然后本文應(yīng)用Zoom IpDFT方法,通過提出描述齒輪故障程度的參數(shù)故障指數(shù)與衡量齒輪故障發(fā)生的閾值進(jìn)行齒輪的早期故障的研究。與其他方法對(duì)比的結(jié)果表明,本文所應(yīng)用的方法不僅能夠進(jìn)行早期故障的自適應(yīng)診斷,同時(shí)也可以通過人工經(jīng)驗(yàn)進(jìn)行診斷,更準(zhǔn)確的反應(yīng)出齒輪的性能狀態(tài),更適應(yīng)在線早期故障診斷。
[Abstract]:With the development of science and technology, in order to meet the demand of reliability and safety of industrial products, it becomes more and more important to avoid the failure and accidents by fault diagnosis and condition monitoring of machinery and equipment. However, with the increasing complexity of mechanical equipment, it will lead to multiple failures in the operation of mechanical equipment. Therefore, the multi-fault feature extraction of mechanical system has become a research direction in the field of fault diagnosis. In the case of multiple faults, the frequency spectrum superposition will occur, and the related fault frequency will be similar, and so on. Research on the identification method of multi-frequency components in mechanical fault diagnosis, This paper applies the interpolating discrete Fourier transform (IpDFT) method based on the maximum sidelobe attenuation window to the fault diagnosis of mechanical system. The study of sign extraction and diagnosis, At the same time, the Zoom IpDFT method is proposed to refine two or several similar spectrum. In this paper, the IpDFT method based on the maximum sidelobe attenuation window is applied to study the bearing signal, and a spectrum superposition method based on phase angle is proposed. Compared with the traditional FFT method and Zoom FFT method, the IpDFT method and Zoom IpDFT method based on the maximum sidelobe attenuation window can accurately and stably extract the fault feature of bearing signal. And the spectrum superposition method is effective. Then the Zoom IpDFT method is used in this paper. The early fault of gear is studied by proposing the parameter fault index describing the degree of gear fault and the threshold to measure the occurrence of gear fault. The results of comparison with other methods show that, The method used in this paper not only can be used for adaptive diagnosis of early faults, but also can be diagnosed by artificial experience, which can more accurately reflect the performance of gears and be more suitable for on-line early fault diagnosis.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：TH165.3

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

1 劉文彬;郭瑜;鄭華文;;基于短時(shí)傅里葉變換的油膜振蕩故障識(shí)別[J];中國測試技術(shù);2008年02期

2 ;GEAR CRACK EARLY DIAGNOSIS USING BISPECTRUM DIAGONAL SLICE[J];Chinese Journal of Mechanical Engineering;2003年02期

3 曹興;;時(shí)域參數(shù)指標(biāo)在軸承故障診斷中的應(yīng)用[J];科技資訊;2010年24期

相關(guān)碩士學(xué)位論文 前1條

1 李輝;滾動(dòng)軸承和齒輪振動(dòng)信號(hào)分析與故障診斷方法[D];西北工業(yè)大學(xué);2001年

，

本文編號(hào)：1665996