A Combined Nonstationary Kriging and Support Vector Machine Method for Stochastic Eigenvalue Analysis of Brake Systems

A Combined Nonstationary Kriging and Support Vector Machine Method for Stochastic Eigenvalue Analysis of Brake Systems

This paper presents a new metamodel approach based on nonstationary kriging and a support vector machine to efficiently predict the stochastic eigenvalue of brake systems. One of the difficulties in the mode-coupling instability induced by friction is that stochastic eigenvalues represent heterogene...

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Bibliographic Details
Main Authors: Gil-Yong Lee, Yong-Hwa Park
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Applied Sciences
Subjects:
brake systems
stochastic complex eigenvalue analysis
nonstationary kriging
support vector machine
Online Access:https://www.mdpi.com/2076-3417/10/1/245

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