【摘要】：自適應(yīng)最稀疏時(shí)頻分析(Aadaptive and Sparsest Time-Frequency Analysis,ASTFA)是一種新的時(shí)頻分析方法,該方法將信號(hào)分解轉(zhuǎn)化為最優(yōu)化問題,在優(yōu)化的過程中實(shí)現(xiàn)信號(hào)的自適應(yīng)分解。為解決ASTFA方法初始相位函數(shù)的選擇問題,采用了分辨率搜索改進(jìn)的ASTFA方法,并進(jìn)一步結(jié)合階次分析方法提出了基于ASTFA的階次方法。該方法首先采用改進(jìn)的ASTFA方法對(duì)原始信號(hào)進(jìn)行分解同時(shí)獲得分量的瞬時(shí)幅值,然后對(duì)瞬時(shí)幅值進(jìn)行階次分析從而提取故障特征信息。將該方法應(yīng)用于變速齒輪傳動(dòng)過程中的時(shí)變非平穩(wěn)振動(dòng)信號(hào)的分析與處理,仿真與實(shí)驗(yàn)分析表明該方法能夠準(zhǔn)確提取變速齒輪的故障特征信息,具有一定的優(yōu)越性。
[Abstract]:Adaptive most sparse time-frequency analysis (Aadaptive and Sparsest Time-Frequency Analysis,ASTFA) is a new time-frequency analysis method, which transforms signal decomposition into optimization problem and realizes adaptive signal decomposition in the process of optimization. In order to solve the problem of selecting initial phase function of ASTFA method, an improved ASTFA method based on resolution search is adopted, and the order method based on ASTFA is proposed in combination with order analysis method. The improved ASTFA method is used to decompose the original signal and obtain the instantaneous amplitude of the component at the same time. Then the order of the instantaneous amplitude is analyzed to extract the fault feature information. The method is applied to the analysis and processing of time-varying non-stationary vibration signals in the transmission process of variable speed gear. The simulation and experimental analysis show that the method can accurately extract the fault characteristic information of the gear with variable speed and has certain advantages.
【作者單位】： 湖南大學(xué)汽車車身先進(jìn)設(shè)計(jì)制造國家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(51375152)
【分類號(hào)】：TN911.7

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