Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM

Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM

For an intelligent detection of bearing failure in rotating machinery, this paper proposed a fault diagnosis method based on a probability box (p-box) and support vector machine (SVM) with a genetic algorithm (GA) algorithm. Firstly, based on vibration signals of the bearing, the different p-boxes a...

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Bibliographic Details
Main Authors: Hong Tang, Zhengxing Yuan, Hongliang Dai, Yi Du
Format: article
Language:EN
Published: IEEE 2020
Subjects:
Probability box theory
feature vector
support vector machine
genetic algorithm
fault diagnosis
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/dcdde715913a4975990c9ccf80a90ee0
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https://doaj.org/article/dcdde715913a4975990c9ccf80a90ee0

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