trainClassifier_SVM_B.m (5.55 kB)

trainClassifier_SVM_B.m

Version 4 2022-10-26, 16:57

Version 3 2022-10-22, 10:53

Version 2 2022-09-17, 15:39

Version 1 2022-09-17, 12:58

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posted on 2022-10-26, 16:57 authored by DAVID CASCALES FULGENCIODAVID CASCALES FULGENCIO

Support Vector Machine model trained with frequency- and time-domain features extracted from the Case Western Reserve University (CWRU) signals database.

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Rolling Element Bearing Fault Diagnosis Approach Machine Learning Support Vector Machine Mechanical Engineering

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CC BY 4.0

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