【摘要】：隨著科學技術的發(fā)展與現(xiàn)代工業(yè)的進步,各種機械設備日趨大型化、高速化和重載化,自動化程度也越來越高。齒輪因其承載能力大、傳動精度高、恒功率傳動等特點,被廣泛地應用于各種旋轉(zhuǎn)機械。齒輪的運行好壞直接決定了機械設備的安全與穩(wěn)定。因此,對齒輪系統(tǒng)的故障機理及診斷方法研究具有重要意義。 由于轉(zhuǎn)子的渦動特性,使得同一截面相互垂直的兩個通道數(shù)據(jù)可能存在偏差。若只采用單通道的數(shù)據(jù)進行診斷,獲得的故障特征信息并不完整,影響故障診斷的準確性與可靠性。全信息技術有效的融合了兩個通道的信息,融合后的信息無論從結構上還是能量上都能夠真實的反映轉(zhuǎn)子的實際狀態(tài)。 本文重點介紹了全信息技術中的全矢譜技術。全矢譜技術處理方法具有高分辨率的特點,并能進一步做能量與三維分析,還可以拓展出一系列的分析方法,如矢功率譜、矢倒譜、短時矢譜等。本文主要以全矢譜技術為基礎,結合傳統(tǒng)分析方法,以拓展全矢譜分析方法,并進行齒輪故障診斷。 當齒輪發(fā)生故障時,采集到的齒輪振動信號往往是非平穩(wěn)信號。矢雙譜可有效的分析非平穩(wěn)信號,提取齒輪的故障特征。但矢雙譜只能抑制高斯噪聲,卻對非高斯噪聲卻無能為力。將小波包變換與矢雙譜結合,提出小波包—矢雙譜。利用小波包變換的降噪功能預處理原始信號,然后再進行矢雙譜分析。研究表明,該方法能有效的消除噪聲。 抑制了交叉項后的Wigner高階譜可從各個角度對非平穩(wěn)信號進行分析,真實的再現(xiàn)了信號頻率成分隨時間的演變過程,為齒輪故障特征提取及故障診斷提供有力的工具。將全矢譜技術與Wigner高階譜結合,提出矢Wigner高階譜,并將其應用到齒輪故障診斷中。仿真及實例表明,該方法不僅發(fā)揮了Wigner高階譜的優(yōu)點,而且融合了同源雙通道信息,能夠全面的反映齒輪的振動特征。
[Abstract]:With the development of science and technology and the progress of modern industry, all kinds of machinery and equipment are becoming more and more large, high speed and heavy load, and the degree of automation is becoming higher and higher. Gear is widely used in various rotating machinery because of its high bearing capacity, high transmission precision, constant power transmission and so on. Gear operation directly determines the safety and stability of mechanical equipment. Therefore, it is of great significance to study the fault mechanism and diagnosis method of gear system. Due to the vortex characteristics of the rotor, the data of two channels perpendicular to each other in the same section may be deviated. If only single channel data is used for fault diagnosis, the obtained fault feature information is incomplete, which affects the accuracy and reliability of fault diagnosis. The full information technology effectively integrates the information of two channels, and the fused information can reflect the actual state of the rotor in both structure and energy. This paper focuses on the full vector spectrum technology in the full information technology. The full vector spectrum processing method has the characteristics of high resolution and can be used for further energy and 3D analysis. A series of analytical methods such as vector power spectrum vector cepstrum and short time vector spectrum can also be developed. This paper mainly based on the whole vector spectrum technology, combined with the traditional analysis method, to expand the total vector spectrum analysis method, and to carry out gear fault diagnosis. When gear failure occurs, the vibration signal of gear is usually non-stationary signal. Vector bispectrum can effectively analyze non-stationary signals and extract fault features of gears. But sagittal bispectrum can only suppress Gao Si noise, but it can not do anything to non-Gao Si noise. By combining wavelet packet transform with vector bispectrum, a wavelet packet vector bispectrum is proposed. The denoising function of wavelet packet transform is used to preprocess the original signal, and then the vector bispectral analysis is carried out. The results show that this method can eliminate noise effectively. The Wigner higher order spectrum after suppressing the cross term can analyze the non-stationary signal from various angles, and reproduce the evolution process of the signal frequency component with time, which provides a powerful tool for gear fault feature extraction and fault diagnosis. A vector Wigner high order spectrum is proposed by combining full vector spectrum with Wigner high order spectrum, and it is applied to gear fault diagnosis. Simulation and an example show that this method not only takes advantage of Wigner high order spectrum, but also combines the information of homologous two channels and can fully reflect the vibration characteristics of gears.
【學位授予單位】：鄭州大學
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：TH132.41;TH165.3

【引證文獻】

相關碩士學位論文 前3條

1 尚慧娟;面向全矢譜分析的轉(zhuǎn)子動態(tài)故障特性研究[D];鄭州大學;2012年

2 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

3 王紹;全矢高階譜分析關鍵技術研究[D];鄭州大學;2013年

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本文編號：2308008