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A study on characteristic indexesof railway ballast bed underhigh-frequency radar
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作者 Shilei Wang Zhan Peng +2 位作者 Guixian Liu Weile Qiang Chi Zhang 《Railway Sciences》 2023年第1期33-47,共15页
Purpose–In this paper,a high-frequency radar test system was used to collect the data of clean ballast bed and fouled ballast bed of ballasted tracks,respectively,for a quantitative evaluation of the condition of rai... Purpose–In this paper,a high-frequency radar test system was used to collect the data of clean ballast bed and fouled ballast bed of ballasted tracks,respectively,for a quantitative evaluation of the condition of railway ballast bed.Design/methodology/approach–Based on original radar signals,the time–frequency characteristics of radar signals were analyzed,five ballast bed condition characteristic indexes were proposed,including the frequency domain integral area,scanning area,number of intersections with the time axis,number of timedomain inflection points and amplitude envelope obtained by Hilbert transform,and the effectiveness and sensitivity of the indexes were analyzed.Findings–The thickness of ballast bed tested at the sleep bottom by high-frequency radar is up to 55 cm,which meets the requirements of ballast bed detection.Compared with clean ballast bed,the values of the five indexes of fouled ballast bed are larger,and the five indexes could effectively show the condition of the ballast bed.The computational efficiency of amplitude envelope obtained by Hilbert transform is 140 s$km1,and the computational efficiency of other indexes is 5 s$km1.The amplitude envelopes obtained by Hilbert transform in the subgrade sections and tunnel sections are the most sensitive,followed by scanning area.The number of intersections with the time axis in the bridge sections was the most sensitive,followed by the scanning area.The scanning area can adapt to different substructures such as subgrade,bridges and tunnels,with high comprehensive sensitivity.Originality/value–The research can provide appropriate characteristic indexes from the high-frequency radar original signal to quantitatively evaluate ballast bed condition under different substructures. 展开更多
关键词 Ballasted track Ballast bed High-frequency radar TEST timefrequency characteristics characteristic indexes
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Time-frequency characteristics and influencing factors of the pressure wave caused by power-frequency arc inside a closed oil tank
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作者 Yunfei Jia Shengchang Ji +2 位作者 Xun Luo Shuangrui Jia Simeng Li 《High Voltage》 2025年第3期699-709,共11页
The arc faults inside oil-immersed power equipment can produce high-amplitude pres-sure waves inside tanks,which might cause ignition and explosion accidents.This kind of failure is one of the most severe faults for p... The arc faults inside oil-immersed power equipment can produce high-amplitude pres-sure waves inside tanks,which might cause ignition and explosion accidents.This kind of failure is one of the most severe faults for power equipment and has attracted consid-erable attention in recent years.However,due to the high risk of the experiments and the complex development of arc in oil,the characteristics of the pressure wave formed by the arc are still confusing.In this paper,the time-frequency characteristics of pressure waves are analysed using several experiments of 1-8 kA power-frequency arc inside a closed oil tank.The experimental results show that the pressure wave produced by the arc in oil contains three frequency bands,0-500 Hz,500 Hz-40 kHz,and above 40 kHz,which are related to the arc energy,the average current around arc ignition and the metal wire explosion respectively.This helps further understand the formation mechanism of the pressure wave caused by the arc in oil.This paper discusses the influences of ignition wire on arc-formed pressure waves.A wire diameter selection method for arc experiments is established to reduce the pressure differences between wire-ignited arcs and actual arc faults. 展开更多
关键词 arc energy time frequency characteristics power equipment arc faults oil tank pressure wave ignition wire power frequency arc
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