本文關(guān)鍵詞：基于小波分析的齒輪箱故障的無損檢測　出處：《西安科技大學》2012年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 齒輪箱 故障診斷 小波分析

【摘要】：現(xiàn)代機械設(shè)備對性能的要求越來越高，其結(jié)構(gòu)也越來越復(fù)雜，機械裝備的發(fā)展日趨大型化和自動化。在機械設(shè)備中，齒輪箱作為連接和傳遞動力的通用零部件，被廣泛的應(yīng)用現(xiàn)代工業(yè)設(shè)備中。在工程實踐中，我們期望對齒輪箱故障的發(fā)生能夠做到防微杜漸，不希望亡羊補牢般地處理事故。因此，研究有效的齒輪箱早期故障診斷技術(shù)，定量診斷故障程度并預(yù)測故障擴展趨勢和齒輪箱剩余壽命，具有重要的社會意義和經(jīng)濟價值。 小波分析是當前數(shù)學中一個迅速發(fā)展的新領(lǐng)域，它在諸多工程領(lǐng)域中都得到了廣泛的應(yīng)用，成為科技工作者經(jīng)常使用的工具之一。本論文圍繞小波分析在齒輪箱故障診斷中的應(yīng)用進行了理論研究和實例分析。 本論文的重點是判斷齒輪裂紋這種故障形式，齒輪裂紋最難識別并具有很大的潛在威脅。本論文首先研究了齒輪箱的故障機理以及小波分析的基本原理，接著研究了小波分析與其他信號分析方法的比較，并簡單介紹了小波分析在濾波、消噪以及突變信號檢測方面的應(yīng)用。最后通過實例，使用Matlab軟件對齒輪箱的故障信號進行小波分析，運用db5小波函數(shù)對采集的振動信號進行分析，利用閾值消噪，對消噪后的信號進行分解處理，分析判定原信號為故障信號，并指出故障形式為齒輪裂紋。然后使用傅里葉分析處理信號，說明傅里葉分析在處理非平穩(wěn)信號中的不足。最后用bior5.5小波分析處理信號，通過對比說明db5小波的處理效果更好，提出使用小波分析在處理信號時，小波函數(shù)的選取原則。 小波分析作為近年來迅速發(fā)展起來的新興學科，，同時具有理論深刻豐富與應(yīng)用廣泛深入的雙重意義，它的應(yīng)用是和它的理論發(fā)展緊密交織在一起并相互促進的。將小波分析理論應(yīng)用于齒輪箱故障的檢測方向，在齒輪箱的早期故障檢測方面取得良好的效果，這在保證齒輪箱設(shè)備的安全可靠運行方面起著重要的作用。小波分析具有廣闊的應(yīng)用前景，是一項值得推廣應(yīng)用的新技術(shù)。
[Abstract]:The modern mechanical equipment on the performance of the increasingly high demand, its structure is more complex. The development of mechanical equipment is becoming more and more large scale and automation. In the machinery equipment, gear box as universal component connection and power transmission, has been applied widely in modern industrial equipment. In engineering practice, we expect to happen to gear box fault can do not like to check erroneous ideas at the outset, I hope to deal with the accident. Therefore, the early diagnosis of gearbox fault effectively, fault diagnosis and fault prediction of quantitative expansion tendency and the residual life of the gear box, has important social significance and economic value.
Wavelet analysis is a new field with rapid development in modern mathematics, it has been widely used in many fields of engineering, science and technology workers to become one of the frequently used tool. This paper focuses on the analysis of theoretical study and practical application of wavelet analysis in fault diagnosis of gear box.
The focus of this paper is to determine the gear crack fault form, gear crack is the most difficult to identify and have large potential risk. This paper studied the failure mechanism of the gear box and the basic principle of wavelet analysis, then study the comparison of wavelet analysis and other signal analysis methods, and a brief introduction of the wavelet analysis in filtering, elimination the noise and the application of mutation signal detection. Finally, wavelet analysis is carried out using Matlab software for gear box fault signal, by analyzing the vibration signal acquisition of db5 wavelet function, threshold denoising based on signal denoising, the decomposition, analysis and judgment of the original signal for fault signal, and points out the fault form of gear crack. Then use the Fourier analysis of signal processing, Fourier analysis shows that in the treatment of non stationary signals. Finally using bior5.5 wavelet analysis. By means of comparison, the processing effect of db5 wavelet is better, and the principle of wavelet function selection is proposed when the wavelet analysis is used to deal with the signal.
Wavelet analysis is a new subject developed rapidly in recent years, and has profound significance both in theory and application deeply, it is the application of theory and its development closely intertwined and promote each other. The wavelet analysis theory is applied to the detection of gearbox fault, and achieved good results in early fault detection gear box, which plays an important role in ensuring the safe and reliable operation of the gear box device. Wavelet analysis has broad application prospects, is a new technology which is worthy of popularization and application.

【學位授予單位】：西安科技大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：TH165.3

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本文編號：1356449