FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONS
Aiming at the problem that accuracy of orthogonal locality preserving projections(OLPP) for fault diagnosis is not high enough,a fault diagnosis method based on semi-supervised neighborhood adaptive orthogonal locality preserving projections(SSNA-OLPP) for dimension reduction is proposed.In this met...
Saved in:
Main Author: | YANG Le |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Strength
2018-01-01
|
Series: | Jixie qiangdu |
Subjects: | |
Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.04.004 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fault Identification based on Improved Supervised Orthogonal Neighborhood Preserving Embedding
by: Ji Yunfeng, et al.
Published: (2017-01-01) -
FAULT DIAGNOSIS BASED ON IMPROVED LOCALITY PRESERVING PROJECTIONS ALOGRITHM
by: LU Li, et al.
Published: (2019-01-01) -
FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED LLTSA FOR DIMENSION REDUCTION
by: LI Lei, et al.
Published: (2017-01-01) -
FAULT DIAGNOSIS BASED ON MIXED LABEL INFORMATION LOCALITY PRESERVING PROJECTIONS DIMENSION REDUCTION
by: YUAN LongYin, et al.
Published: (2019-01-01) -
Fault Diagnosis of Rolling Bearing based on MEEMD-DHENN
by: Wang Jinrui, et al.
Published: (2018-01-01)