A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine

A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine

In this paper, a fault diagnosis method that is based on the deep structure and the sparse least squares support vector machine (SLSSVM) is proposed. This method constructs the structure of a multi-layer support vector machine (SVM). First, the SVM on the first layer is trained by using the training...

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Bibliographic Details
Main Authors: Ke Li, Rui Zhang, Fucai Li, Lei Su, Huaqing Wang, Peng Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
deep structure
support vector machine
sparsity
Online Access:https://ieeexplore.ieee.org/document/8651282/

Internet

https://ieeexplore.ieee.org/document/8651282/

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