Condition monitoring of railway vehicles by Graph Signal Processing(GSP) of vibration signals

Jyoti Kumar Barman, Nupur Choudhury, Gitu Das, Pushpanjalee Konwar, Rupesh Mandal, Durlav Hazarika

Abstract


Vibration analysis is one of the most popular and reliable methods for monitoring the health of various mechanical and civil structures, including rotating machines and railway vehicles. This paper presents a framework based on Graph Signal Processing (GSP) for condition monitoring of trains. Vibration signals are collected from sensors installed on tracks, capturing data as trains move over them. These signals are then represented on the nodes of a graph constructed from a database. The Graph Fourier Transform(GFT) along with a first order filter is employed for quantifying the conditions of the train under study.


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