Application of Vibration Signal Processing Methods to Detect and Diagnose Wheel Flats in Railway Vehicles
This paper studied two useful vibration signal processing methods for detection and diagnosis of wheel flats. First, the cepstrum analysis method combined with order analysis was applied to the vibration signal to detect periodic responses in the spectrum for a rotating body such as a wheel. In the...
Main Authors: | JaeSeok Shim, GeoYoung Kim, ByungJin Cho, JeongSeo Koo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/5/2151 |
Similar Items
-
Assessment of severity of a flat at the rolling surface of the railway wheel
by: Elkin G. Flórez S., et al.
Published: (2013-01-01) -
Train Wheel Condition Monitoring via Cepstral Analysis of Axle Box Accelerations
by: Benjamin Baasch, et al.
Published: (2021-02-01) -
Evaluation of the Influence of a Rail Vehicle Running with Wheel-flat on the Railway Track
by: Dižo Ján, et al.
Published: (2018-05-01) -
Railway Wheel Flat Detection System Based on a Parallelogram Mechanism
by: Run Gao, et al.
Published: (2019-08-01) -
The dynamic behaviour of a wheel flat of a railway vehicle and rail irregularities
by: Marijonas Bogdevičius, et al.
Published: (2015-06-01)