A fault diagnosis methodology for an external gear pump with the use of Machine Learning classification algorithms: Support Vector Machine and Multilayer Perceptron

This paper presents a fault diagnosis Machine Learning (ML) computational strategy for an external gear pump. The method uses supervised learning of descriptive features. The focus is on two types of ML nonlinear multi-class classification algorithms: Support Vector Machine (SVM) and Multilayer Perc...

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Bibliographic Details
Main Authors: K. Lakshmanan, A. J. Gil, F. Auricchio, F. Tessicini
Format: Default Conference proceeding
Published: 2020
Subjects:
Other mathematical sciences not elsewhere classified
Fault Diagnosis
Wavelet Feature Extraction
Noise Perturbation
Support Vector Machine
MultiLayer Perceptron
Mathematical Sciences not elsewhere classified
Online Access:https://dx.doi.org/10.17028/rd.lboro.12097668.v1
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