2021
DOI: 10.1016/j.trpro.2021.07.033
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Acoustic diagnostics of railway vehicles

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“…on the trackside to collect bearing-related signals when the train passes through the experimental area [106]. Due to the complexity of the collection environment, strong interference, and steep distortion of the sound signal, this type of method should further reduce the error and improve the accuracy of signal feature extraction based on the static experimental methods [107]. Amini et al proposed time spectral kurtosis (TSK) to reduce the background noises and identify the axle-bearing defects [108].…”
Section: Fault Diagnosis Of Wayside Acoustic Features On Train Bearingsmentioning
confidence: 99%
“…on the trackside to collect bearing-related signals when the train passes through the experimental area [106]. Due to the complexity of the collection environment, strong interference, and steep distortion of the sound signal, this type of method should further reduce the error and improve the accuracy of signal feature extraction based on the static experimental methods [107]. Amini et al proposed time spectral kurtosis (TSK) to reduce the background noises and identify the axle-bearing defects [108].…”
Section: Fault Diagnosis Of Wayside Acoustic Features On Train Bearingsmentioning
confidence: 99%