Ballastless track disease rapid identification method based on wheel track noise and vibration waveform
The invention discloses a ballastless track disease rapid identification method based on wheel track noise and vibration waveform, and the method comprises the following steps: S1, collecting vibration data with the frequency of 0-2500Hz in a ballastless track structure, and enabling the vibration d...
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Format | Patent |
Language | Chinese English |
Published |
14.07.2023
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Subjects | |
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Abstract | The invention discloses a ballastless track disease rapid identification method based on wheel track noise and vibration waveform, and the method comprises the following steps: S1, collecting vibration data with the frequency of 0-2500Hz in a ballastless track structure, and enabling the vibration data with the frequency not exceeding 400Hz to correspond to the vibration frequency of a ballastless track bed; the vibration data in the range are stored in a mode of converting vibration waveforms into pictures; the vibration data exceeding 400 Hz correspond to the wheel track noise audio frequency, and the vibration data in the range are stored as noise audio characteristic data; s2, respectively establishing a wheel track noise audio database and a ballastless track bed vibration waveform picture database through long-term monitoring; s3, performing similarity analysis on train wheel track noise audio data and ballastless track bed vibration waveform data which are acquired in real time and a database establish |
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AbstractList | The invention discloses a ballastless track disease rapid identification method based on wheel track noise and vibration waveform, and the method comprises the following steps: S1, collecting vibration data with the frequency of 0-2500Hz in a ballastless track structure, and enabling the vibration data with the frequency not exceeding 400Hz to correspond to the vibration frequency of a ballastless track bed; the vibration data in the range are stored in a mode of converting vibration waveforms into pictures; the vibration data exceeding 400 Hz correspond to the wheel track noise audio frequency, and the vibration data in the range are stored as noise audio characteristic data; s2, respectively establishing a wheel track noise audio database and a ballastless track bed vibration waveform picture database through long-term monitoring; s3, performing similarity analysis on train wheel track noise audio data and ballastless track bed vibration waveform data which are acquired in real time and a database establish |
Author | YANG ZHOU ZHU BIN ZHANG ZHENG CHEN JIAHUI LIU HUIFANG LUO WEI ZHOU LEI MEI QIN LI QIUYI REN XICHONG YANG SHANGFU YE SONG ZHANG SHIJIE LIN CHAO ZHANG ZE |
Author_xml | – fullname: ZHU BIN – fullname: CHEN JIAHUI – fullname: YANG ZHOU – fullname: LI QIUYI – fullname: REN XICHONG – fullname: MEI QIN – fullname: ZHOU LEI – fullname: ZHANG ZHENG – fullname: ZHANG ZE – fullname: YE SONG – fullname: LIN CHAO – fullname: YANG SHANGFU – fullname: LUO WEI – fullname: LIU HUIFANG – fullname: ZHANG SHIJIE |
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DocumentTitleAlternate | 基于轮轨噪声和振动波形的无砟轨道病害快速识别方法 |
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Snippet | The invention discloses a ballastless track disease rapid identification method based on wheel track noise and vibration waveform, and the method comprises the... |
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SubjectTerms | INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES MEASURING OTHER AUXILIARY EQUIPMENT FOR RAILWAYS PERFORMING OPERATIONS PHYSICS RAILWAYS TESTING TRANSPORTING |
Title | Ballastless track disease rapid identification method based on wheel track noise and vibration waveform |
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