Fusion of Model-Based and Data Driven Based Fault Diagnostic Methods for Railway Vehicle Suspension

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ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org

"Fusion of Model-Based and Data Driven Based Fault Diagnostic Methods for Railway Vehicle Suspension"
written by Abdulai Ayirebi Ankrah, James Kuria Kimotho, Onesmus Mutuku Muvengei,
published by Journal of Intelligent Learning Systems and Applications, Vol.12 No.3, 2020

has been cited by the following article(s):

[1]	Eksploatacja i Niezawodnosc–Maintenance and Reliability
	Eksploatacja i Niezawodnosc, 2023

[2]	Measuring Vertical Track Irregularities from Instrumented Heavy Haul Railway Vehicle Data Using Machine Learning

[1]	Weightless neural network-based fault diagnosis in suspension system FME Transactions, 2024 DOI:10.5937/fme2401115S

[2]	Ballasted Track Behaviour Induced by Absent Sleeper Support and its Detection Based on a Convolutional Neural Network Using Track Data Urban Rail Transit, 2023 DOI:10.1007/s40864-023-00187-0

[3]	Ballasted Track Behaviour Induced by Absent Sleeper Support and its Detection Based on a Convolutional Neural Network Using Track Data Urban Rail Transit, 2023 DOI:10.1007/s40864-023-00187-0

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