本文選題：軌道不平順　切入點(diǎn)：連續(xù)小波變換　出處：《振動(dòng)工程學(xué)報(bào)》2014年04期

【摘要】：列車振動(dòng)能量突變是判斷軌道病害及狀態(tài)惡化的重要依據(jù)之一�；谶B續(xù)小波變換細(xì)致的時(shí)間-尺度網(wǎng)格劃分性能,結(jié)合概率方法,通過(guò)對(duì)軌道不平順和列車振動(dòng)信號(hào)的能量計(jì)算與分析,建立列車振動(dòng)響應(yīng)和軌道不平順信號(hào)的時(shí)間、尺度和時(shí)間-尺度小波能量譜,并進(jìn)行聯(lián)合診斷。通過(guò)滬寧客運(yùn)專線和朔黃重載鐵路的軌檢數(shù)據(jù)分析,表明此方法能夠有效提取軌道結(jié)構(gòu)中微弱病害的類型、損傷程度和空間位置,并實(shí)現(xiàn)整體不平順狀態(tài)的評(píng)估。這為鐵路軌道病害診斷和狀態(tài)評(píng)價(jià)提供了新的技術(shù)途徑。
[Abstract]:The sudden change of train vibration energy is one of the important bases for judging track disease and state deterioration. Based on the detailed time-scale mesh generation performance of continuous wavelet transform (CWT), the probability method is used. By calculating and analyzing the energy of track irregularity and train vibration signal, the time, scale and time-scale wavelet energy spectrum of train vibration response and track irregularity signal are established. Through the analysis of rail inspection data of Huning passenger dedicated Line and Shuohuang heavy haul Railway, it is shown that this method can effectively extract the types, damage degree and spatial location of weak diseases in track structure. It provides a new technical approach for railway track disease diagnosis and condition evaluation.
【作者單位】： 中南大學(xué)道路與鐵道工程系;高速鐵路建造技術(shù)國(guó)家工程實(shí)驗(yàn)室;上海鐵路局工務(wù)處;朔黃鐵路發(fā)展有限責(zé)任公司;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(51008315) 中南大學(xué)研究生自主探索創(chuàng)新項(xiàng)目(2013zzts33) 上海鐵路局科研項(xiàng)目(2013072)
【分類號(hào)】：U216.3;TN911.7

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1 崔曉慶,宋學(xué)瑞,余明揚(yáng),劉建成;基于小波分析的故障診斷系統(tǒng)[J];長(zhǎng)沙鐵道學(xué)院學(xué)報(bào);2002年04期

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