Gear Fault Diagnosis and Classification Based on Fisher Discriminant Analysis

Gears are the most essential parts in rotating machinery. So gear fault modes diagnosis and levels classification are very important in engineering practice. This paper present a novel method in gear fault recognition and identification using Fisher discriminant analysis (FDA) due to FDA can reduct...

Full description

Saved in:
Bibliographic Details
Main Authors: Li, Haiping (Author), Zhao, Jianmin (Author), Zhang, Xinghui (Author), Teng, Hongzhi (Author), Yang, Ruifeng (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2014-08-01.
Subjects:
Online Access:Get fulltext
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 02206 am a22003373u 4500
001 ijeecs3739_2033
042 |a dc 
100 1 0 |a Li, Haiping  |e author 
100 1 0 |e contributor 
700 1 0 |a Zhao, Jianmin  |e author 
700 1 0 |a Zhang, Xinghui  |e author 
700 1 0 |a Teng, Hongzhi  |e author 
700 1 0 |a Yang, Ruifeng  |e author 
245 0 0 |a Gear Fault Diagnosis and Classification Based on Fisher Discriminant Analysis 
260 |b Institute of Advanced Engineering and Science,   |c 2014-08-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3739 
520 |a Gears are the most essential parts in rotating machinery. So gear fault modes diagnosis and levels classification are very important in engineering practice. This paper present a novel method in gear fault recognition and identification using Fisher discriminant analysis (FDA) due to FDA can reduct dimension when analyse signal. The real data collected from a gearbox test rig is used to validate the method this paper proposed. And the effectiveness of the methodology was demonstrated by the results obtained from the analysis. Three kinds of fault modes and levels were identified. And energy was selected as feature parameter. The fault modes (normal, breaktooth and crack) were diagnosed at first, then the fault levels of breaktooth and crack are classified. The accurate rate of the method is approximate 89%. 
540 |a Copyright (c) 2014 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a condition based maintenance 
690 |a Gear, fault diagnosis, dimension reduction, Fisher discriminant analysis 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 8: August 2014; 6198-6204 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i8 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3739/2033 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3739/2033  |z Get fulltext