Acoustic diagnostics of railway vehicles

Zvolenský, Peter; Leštinský, Lukáš; Ďungel, Ján; Grenčík, Juraj

doi:10.1016/j.trpro.2021.07.033

Cited by 3 publications

(1 citation statement)

References 3 publications

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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%

A Survey on Fault Diagnosis Approaches for Rolling Bearings of Railway Vehicles

Yan

Jiang²,

Bai

et al. 2022

Processes

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This paper reviews the current research status of rolling bearing fault diagnosis technology for railway vehicles. Several domains are covered, including vibration fault diagnosis, acoustic signal fault diagnosis, and temperature prediction diagnosis methods on train rolling bearing test principles and related research. The application scenarios, system diagnosis accuracies, and model structures of various studies in the literature are also compared and analyzed. Furthermore, the main technical points to be improved and the analysis of the possible research directions are proposed, which provide new research ideas for subsequent fault diagnosis methods and system innovation research and development.

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Section: Fault Diagnosis Of Wayside Acoustic Features On Train Bearingsmentioning

confidence: 99%

A Survey on Fault Diagnosis Approaches for Rolling Bearings of Railway Vehicles

Yan

Jiang²,

Bai

et al. 2022

Processes

View full text Add to dashboard Cite

show abstract

Use of artificial neural networks to assess train horn noise at a railway level crossing in India

Srikanth

Chowdary

2023

Environ Monit Assess

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An improved acoustic imaging algorithm combining object detection and beamforming for acoustic camera

Ning

Meng

Wei

2022

JASA Express Letters

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High computational cost and interference with sidelobes and other mainlobes are the main problems of acoustic imaging algorithms for acoustic cameras. An improved acoustic imaging algorithm that deeply integrates object detection and a beamforming algorithm is proposed to solve the above problems. The YOLO-Fastest algorithm is employed to obtain the area of the specified equipment to reduce the imaging area of the beamforming algorithm. Experimental results show that an acoustic camera that runs the proposed method can reduce sidelobe interference and obtain acoustic images for specified equipment in real-time.

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Acoustic diagnostics of railway vehicles

Cited by 3 publications

References 3 publications

A Survey on Fault Diagnosis Approaches for Rolling Bearings of Railway Vehicles

A Survey on Fault Diagnosis Approaches for Rolling Bearings of Railway Vehicles

Use of artificial neural networks to assess train horn noise at a railway level crossing in India

An improved acoustic imaging algorithm combining object detection and beamforming for acoustic camera

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