Feature Mapping Techniques for Improving the Performance of Fault Diagnosis of Synchronous Generator

Support vector machine (SVM) is a popular machine learning algorithm used extensively in machine fault diagnosis. In this paper, linear, radial basis function (RBF), polynomial, and sigmoid kernels are experimented to diagnose inter-turn faults in a 3kVA synchronous generator. From the preliminary r...

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Bibliographic Details

Published in:	International journal of prognostics and health management Vol. 6; no. 2
Main Authors:	Gopinath, R., Kumar, C. Santhosh, Vishnuprasad, K., Ramachandran, K. I.
Format:	Journal Article
Language:	English
Published:	The Prognostics and Health Management Society 03.11.2020
Subjects:	kernels locality constrained linear coding machine fault diagnosis sparse coding support vector machine synchronous generator
ISSN:	2153-2648, 2153-2648
Online Access:	Get full text
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