An Efficient Method of Vibration Diagnostics For Rotating Machinery Using a Decision Tree
This paper describes an efficient method to automatize vibration diagnosis for rotating machinery using a decision tree, which is applicable to vibration diagnosis expert system. Decision tree is a widely known formalism for expressing classification knowledge and has been used successfully in many...
Saved in:
Main Authors: | Bo Suk Yang, Chul Hyun Park, Ho Jong Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2000-01-01
|
Series: | International Journal of Rotating Machinery |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/S1023621X00000038 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review
by: Ikram Bagri, et al.
Published: (2024-10-01) -
METHOD FOR DETERMINATION OF ROTATION CENTER IN VIBRATING OBJECT
by: I. P. Kauryha, et al.
Published: (2016-05-01) -
TSViT: A Time Series Vision Transformer for Fault Diagnosis of Rotating Machinery
by: Shouhua Zhang, et al.
Published: (2024-11-01) -
A multi-channel CNN fault diagnosis method based on squeeze-and-convolution attention for rotating machinery
by: Xu YANG, et al.
Published: (2024-12-01) -
Dynamics of Anisotropically Supported Rotors
by: Agnes Muszynska, et al.
Published: (1997-01-01)