Research on Tower Mechanical Fault Classification Method Based on Multiclass Central Segmentation Hyperplane Support Vector Machine Improvement Algorithm

Research on Tower Mechanical Fault Classification Method Based on Multiclass Central Segmentation Hyperplane Support Vector Machine Improvement Algorithm

In this paper, a classification recognition algorithm for tower mechanical faults is proposed, and a multiclass central segmentation hyperplane support vector machine (CSH-SVM) is proposed to improve the existing multiclass support vector machine for problems in which a certain sample satisfies mult...

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Bibliographic Details
Main Authors: Shunjie Han, Heran Wang, Xueyan Hu, Huan Yang, Hanye Wu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
ANSYS Workbench
tilt sensor
unbalanced dataset
synthetic minority oversampling technique
support vector machine
Online Access:https://www.mdpi.com/2076-3417/13/3/1331

Internet

https://www.mdpi.com/2076-3417/13/3/1331

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