Open AccessFault diagnosis of roller bearing using parameter evaluation technique and multi-class support vector machine
Author(s) -
Didik Djoko Susilo,
Achmad Widodo,
Toni Prahasto,
Muhammad Nizam
Publication year - 2017
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4968334
Subject(s) - support vector machine , bearing (navigation) , artificial intelligence , pattern recognition (psychology) , fault (geology) , computer science , kernel (algebra) , polynomial kernel , condition monitoring , dimensionality reduction , multiclass classification , feature extraction , machine learning , kernel method , engineering , mathematics , combinatorics , seismology , electrical engineering , geology
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