Image representation of vibration signals and its application in intelligent compound fault diagnosis in railway vehicle wheelset-axlebox assemblies
Volume: 152, Pages: 107421 - 107421
Published: May 1, 2021
Abstract
Axlebox vibration signals contain critical status information regarding the operating state of a wheelset-axlebox assembly in railway vehicles, and an increasing number of studies have demonstrated the superiority of operating state diagnostic methods based on machine learning that apply image representations of vibration signals as input data. In this regard, the Markov transition field algorithm has been demonstrated to represent the state...
Paper Details
Title
Image representation of vibration signals and its application in intelligent compound fault diagnosis in railway vehicle wheelset-axlebox assemblies
Published Date
May 1, 2021
Volume
152
Pages
107421 - 107421
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