本文選題：經(jīng)驗(yàn)?zāi)B(tài)分解 + 包絡(luò)算法　； 參考：《機(jī)械工程學(xué)報(bào)》2017年02期

【摘要】：經(jīng)驗(yàn)?zāi)B(tài)分解(Empirical mode decomposition,EMD)是一種數(shù)據(jù)驅(qū)動(dòng)的自適應(yīng)非線性非平穩(wěn)數(shù)據(jù)處理方法。包絡(luò)技術(shù)和模態(tài)混疊問題是EMD研究的重要課題。將非線性非平穩(wěn)信號(hào)定義為多成分調(diào)幅-調(diào)頻(Amplitude modulation-frequency modulation,AM-FM)信號(hào)模型,而EMD分解的每一個(gè)固有模態(tài)函數(shù)為單一的AM-FM信號(hào)。通過研究單成分AM-FM信號(hào)的包絡(luò)以及多成分AM-FM信號(hào)EMD分解引起的模態(tài)混疊問題,提出新的EMD包絡(luò)條件,并給出新包絡(luò)算法的數(shù)值計(jì)算方法。基于新條件包絡(luò)算法,提出單成分AM-FM信號(hào)相位和瞬時(shí)頻率的新估計(jì)算法。提出解決多成分AM-FM信號(hào)EMD分解的模態(tài)混疊問題的新方法,并通過幾組仿真信號(hào)和一組實(shí)測(cè)的轉(zhuǎn)子碰摩數(shù)據(jù)驗(yàn)證了方法的有效性。
[Abstract]:Empirical mode decomposition (EMD) is a data-driven adaptive nonlinear non-stationary data processing method. Envelope technique and modal aliasing are important subjects in EMD research. The nonlinear non-stationary signal is defined as a multi-component amplitude modulation-frequency modulation modulation-frequency modulationAM-FM signal model, and each inherent mode function of EMD decomposition is a single AM-FM signal. By studying the envelope of single-component AM-FM signal and the modal aliasing caused by EMD decomposition of multi-component AM-FM signal, a new EMD envelope condition is proposed, and the numerical calculation method of the new envelope algorithm is given. Based on the new conditional envelope algorithm, a new estimation algorithm for phase and instantaneous frequency of single component AM-FM signal is proposed. A new method to solve the modal aliasing problem of multi-component AM-FM signal EMD decomposition is proposed. The validity of the method is verified by several sets of simulation signals and a set of measured data of rotor-rub-impact.
【作者單位】： 西南交通大學(xué)牽引動(dòng)力國(guó)家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(61134002,51305358)資助項(xiàng)目
【分類號(hào)】：TN911.7

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 SHI Kunju;LIU Shulin;JIANG Chao;ZHANG Hongli;;Rolling Bearing Feature Frequency Extraction using Extreme Average Envelope Decomposition[J];Chinese Journal of Mechanical Engineering;2016年05期

2 孟宗;顧海燕;李?yuàn)檴?;基于神經(jīng)網(wǎng)絡(luò)集成的B樣條經(jīng)驗(yàn)?zāi)B(tài)分解端點(diǎn)效應(yīng)抑制方法[J];機(jī)械工程學(xué)報(bào);2013年09期

3 邵晨曦;王劍;范金鋒;楊明;王子才;;一種自適應(yīng)的EMD端點(diǎn)延拓方法[J];電子學(xué)報(bào);2007年10期

4 劉慧婷,張e，

本文編號(hào)：1826546