【摘要】：全息譜技術是旋轉機械振動信號分析與故障診斷中的一項重要技術�；贔FT的傳統(tǒng)譜分析基本能夠滿足常見的故障特征提取和故障分析的要求,但其不能有效地利用振動信號的相位信息,因此不能滿足精密診斷和復雜故障診斷的要求,全息譜技術正是在這一情況下發(fā)展起來的。全息譜技術的主導思想是充分利用傳統(tǒng)譜分析所忽略相位信息,集成了一個或多個截面上水平和垂直通道的振動信號的幅值、頻率和相位信息,用合成的一系列橢圓來描述不同頻率分量下轉子的振動行為,因此比一般方法更能準確識別和診斷旋轉機械隱含的故障特征。本課題以旋轉機械全息譜分析技術為研究對象,研究并提高了全息譜在密集頻譜和噪聲情況下的分析精度,跟蹤并實現(xiàn)了諧波小波軸心軌跡提純,最后進行了全息譜分析系統(tǒng)的開發(fā)。具體研究工作如下: ①在詳細介紹全息譜技術測試原理的基礎上,采用基于一階數(shù)字微分和最小二乘五點三次平滑法來計算轉速曲線,為準確獲取工頻提供保障。同時,通過分析比值校正法原理及具備更強抗噪能力的相位差校正法原理,發(fā)現(xiàn)現(xiàn)有的兩種頻域插值算法無法實現(xiàn)密集頻譜校正,強調(diào)消除或弱化密集頻譜及噪聲對全息譜分析精度影響的必要性。 ②針對全息譜在密集頻譜情況下精度降低的問題,研究并實現(xiàn)了基于頻譜細化和相位差校正的全息譜。它是采用復解析帶通濾波器選帶細化方法對以階次頻率為中心的局部區(qū)間進行細化分析,通過提高頻率分辨率從而消除密集頻譜的影響,運用相位差法對細化區(qū)間內(nèi)的最大譜峰進行頻率、幅值、相位校正,準確地提取出各階次的幅值、相位信息,最后合成全息譜圖。仿真和現(xiàn)場實驗研究表明,本文所研究的基于頻譜細化和相位差校正的全息譜分析方法是正確而且有效的。 ③跟蹤國內(nèi)外軸心軌跡提純研究研究狀況,在綜合分析現(xiàn)有軸心軌跡提純方法優(yōu)缺點的基礎上,選用諧波小波提純于本全息譜分析系統(tǒng)中,實現(xiàn)了算法過程,并用仿真實例驗證了算法的正確性及有效性。 ④采用面向對象的編程技術以及VC++開發(fā)平臺,開發(fā)了旋轉機械全息譜分析系統(tǒng),并利用實驗數(shù)據(jù)對系統(tǒng)的各項功能模塊進行了應用測試。測試效果表明本文所開發(fā)的旋轉機械全息譜分析系統(tǒng)具有較好的工程應用價值
[Abstract]:Holographic spectrum is an important technique in vibration signal analysis and fault diagnosis of rotating machinery. The traditional spectrum analysis based on FFT can basically meet the requirements of common fault feature extraction and fault analysis, but it can not effectively utilize the phase information of vibration signal, so it can not meet the requirements of precision diagnosis and complex fault diagnosis. It is in this context that holographic spectroscopy is developed. The main idea of holographic spectrum technology is to make full use of the phase information neglected by traditional spectral analysis, and to integrate the amplitude, frequency and phase information of vibration signals of horizontal and vertical channels on one or more sections. A series of ellipses are used to describe the vibration behavior of the rotor with different frequency components, so it is more accurate to identify and diagnose the hidden fault characteristics of rotating machinery than the general method. In this paper, the holographic spectrum analysis technology of rotating machinery is taken as the research object, the analysis accuracy of the holographic spectrum under dense spectrum and noise is studied and improved, and the harmonics wavelet axis track is tracked and purified. Finally, the holographic spectrum analysis system is developed. The research work is as follows: 1 on the basis of the detailed introduction of the holographic spectrum testing principle, the rotational speed curve is calculated based on the first order digital differential and least square smoothing method, which provides the guarantee for the accurate acquisition of power frequency. At the same time, by analyzing the principle of ratio correction method and phase difference correction method with stronger anti-noise ability, it is found that two kinds of frequency domain interpolation algorithms can not achieve intensive spectrum correction. The necessity of eliminating or weakening the influence of dense spectrum and noise on the accuracy of holographic spectrum analysis is emphasized. 2 in order to reduce the precision of holographic spectrum in dense spectrum, the holographic spectrum based on spectrum refinement and phase difference correction is studied and realized. It uses the method of complex analytic bandpass filter to refine the local interval centered on the order frequency, and eliminates the influence of the dense frequency spectrum by improving the frequency resolution. The phase difference method is used to correct the frequency, amplitude and phase of the maximum spectral peak in the thinning region. The amplitude and phase information of each order are extracted accurately. Finally, the holographic spectrum is synthesized. Simulation and field experiments show that the holographic spectrum analysis method based on spectrum refinement and phase difference correction is correct and effective. (3) tracking the research status of axis trajectory purification at home and abroad, on the basis of synthetically analyzing the advantages and disadvantages of the existing methods, the harmonic wavelet is selected to purify the holographic spectrum analysis system, and the algorithm process is realized. A simulation example is given to verify the correctness and effectiveness of the algorithm. (4) the holographic spectrum analysis system of rotating machinery is developed by using object-oriented programming technology and VC development platform, and the functional modules of the system are tested with experimental data. The test results show that the holographic spectrum analysis system developed in this paper has good engineering application value.
【學位授予單位】：重慶大學
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：TH165.3

【引證文獻】

相關碩士學位論文 前2條

1 楊才源;離散全矢譜校正方法及工程應用研究[D];鄭州大學;2013年

2 王紹;全矢高階譜分析關鍵技術研究[D];鄭州大學;2013年

，

本文編號：2413744