本文選題：齒輪箱 + 信號(hào)分析　； 參考：《沈陽(yáng)工業(yè)大學(xué)》2017年碩士論文

【摘要】：齒輪箱運(yùn)用于機(jī)械行業(yè)的各個(gè)地方,是旋轉(zhuǎn)機(jī)械設(shè)備中一種最為常用的傳動(dòng)裝置,尤其在風(fēng)力發(fā)電裝置中大量使用,所以其運(yùn)行狀況的好壞對(duì)于設(shè)備的運(yùn)行效率、操作效果和工作壽命等至關(guān)重要。但是齒輪箱一旦出現(xiàn)故障,將會(huì)造成嚴(yán)重的后果。齒輪箱的振動(dòng)信號(hào)中蘊(yùn)含了大量的可用信息,但處于早期故障的齒輪箱,振動(dòng)信號(hào)比較微弱,容易被外界環(huán)境的噪聲和其他部件的振動(dòng)信號(hào)所混淆,因此,對(duì)齒輪箱振動(dòng)信號(hào)正確信息的準(zhǔn)確提取,并采取正確的方法加以分析,對(duì)于齒輪箱維護(hù)和保養(yǎng)具有重要的意義。本文以齒輪箱不同工況下的振動(dòng)信號(hào)為研究對(duì)象,采用基于σ準(zhǔn)則的概率統(tǒng)計(jì)方法和小波包三層分解的方法對(duì)齒輪箱振動(dòng)信號(hào)進(jìn)行分析,主要工作有:(1)通過(guò)搭建的齒輪箱運(yùn)行試驗(yàn)臺(tái),采集了不同轉(zhuǎn)速和不同工作狀況下的加速度振動(dòng)信號(hào)的數(shù)據(jù)。(2)對(duì)采集到的加速度振動(dòng)信號(hào)進(jìn)行小波包去噪,并對(duì)其幅值落點(diǎn)概率進(jìn)行了統(tǒng)計(jì),提出了基于σ準(zhǔn)則的振動(dòng)信號(hào)分析方法,研究證明,如果σ準(zhǔn)則變小,則證明幅值落點(diǎn)向左右幅值大的部位進(jìn)行了偏移,則說(shuō)明齒輪箱不屬于正常狀態(tài)運(yùn)行。(3)提出了頻域分析確定信號(hào)區(qū)間,然后小波包分解該區(qū)間信號(hào)的方法,這樣能大大縮小分析信號(hào)的頻率范圍,且小波包分解對(duì)于信號(hào)變化有很強(qiáng)的敏感性,通過(guò)把信號(hào)再分解成八個(gè)子區(qū)間,觀察功率頻譜圖,再與齒輪箱內(nèi)部各個(gè)部件的轉(zhuǎn)頻、嚙合頻率、通過(guò)頻率等相比較,就能判斷出齒輪箱的工作狀況以及引起此狀況的原因。
[Abstract]:The gearbox, which is used in various parts of the machinery industry, is one of the most commonly used transmission devices in the rotating machinery, especially in the wind power plant, so the running condition of the gearbox is good or bad for the operation efficiency of the equipment. The operation effect and working life are very important. But once the gearbox breaks down, it will have serious consequences. The vibration signal of the gearbox contains a lot of available information, but the vibration signal of the gearbox in the early fault is weak, which is easily confused by the noise in the outside environment and the vibration signal of other parts. The accurate extraction and analysis of the correct information of gear box vibration signal is of great significance to the maintenance and maintenance of the gear box. In this paper, the vibration signals of the gearbox under different working conditions are studied. The probability statistical method based on 蟽 criterion and the method of wavelet packet three-layer decomposition are used to analyze the vibration signals of the gearbox. The main works are as follows: (1) through the gearbox running test bed, the data of acceleration vibration signal under different rotational speed and different working conditions are collected. (2) the collected acceleration vibration signal is de-noised by wavelet packet. A method of vibration signal analysis based on 蟽 criterion is put forward. It is proved that if 蟽 criterion becomes smaller, the amplitude drop point is offset to the position with large amplitude. It is shown that the gearbox does not operate in normal state. (3) the method of frequency domain analysis is proposed to determine the signal interval, and then wavelet packet is used to decompose the signal, which can greatly reduce the frequency range of the analysis signal. Wavelet packet decomposition has a strong sensitivity to signal change. By decomposing the signal into eight sub-regions and observing the power spectrum, the wavelet packet decomposition is compared with the switching frequency, meshing frequency and passing frequency of each component in the gearbox. You can determine the working condition of the gearbox and the cause of the condition.
【學(xué)位授予單位】：沈陽(yáng)工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TH132.41

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本文編號(hào)：2100413