Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Explore
Statistics
Help
Start on ORBi
MyORBi
Legal Information
Add your ORCID
Generate a list of publication
About
What's ORBi
Visibility
Release notes
Back
Home
Detailled Reference
Request a copy
Article (Scientific journals)
Tool wear monitoring by machine learning techniques and singular spectrum analysis
Kilundu Y'E Bondo, Bovic
;
Dehombreux, Pierre
;
Chiementin, X.
2010
•
In
Mechanical Systems and Signal Processing, 25
(1), p. 400-415
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/20.500.12907/19352
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
MSSPSSA_tool.pdf
Author postprint (1.32 MB)
Request a copy
All documents in ORBi UMONS are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Research center :
BIOSYS - Biosys
Disciplines :
Mechanical engineering
Author, co-author :
Kilundu Y'E Bondo, Bovic
Dehombreux, Pierre
;
Université de Mons > Faculté Polytechnique > Génie Mécanique
Chiementin, X.
Language :
English
Title :
Tool wear monitoring by machine learning techniques and singular spectrum analysis
Publication date :
10 December 2010
Journal title :
Mechanical Systems and Signal Processing
ISSN :
0888-3270
Publisher :
Elsevier, Atlanta, Georgia
Volume :
25
Issue :
1
Pages :
400-415
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
F707 - Génie Mécanique
Research institute :
R500 - Institut des Sciences et du Management des Risques
Available on ORBi UMONS :
since 23 December 2010
Statistics
Number of views
14 (0 by UMONS)
Number of downloads
0 (0 by UMONS)
More statistics
Bibliography
Similar publications
Contact ORBi UMONS