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2008 7th Computer Information Systems and Industrial Management Applications
A Hybrid Multi-Experts Approach for Mechanical Defects' Detection and Diagnosis
June 26-June 28
ISBN: 978-0-7695-3184-7
ASCII Text
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Moustapha S?ne, Abdennasser Chebira, Kurosh Madani, "A Hybrid Multi-Experts Approach for Mechanical Defects' Detection and Diagnosis," Computer Information Systems and Industrial Management Applications, International Conference on, pp. 59-64, 2008 7th Computer Information Systems and Industrial Management Applications, 2008.
 
 
BibTex
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@article{ 10.1109/CISIM.2008.57,
author = {Moustapha S?ne and Abdennasser Chebira and Kurosh Madani},
title = {A Hybrid Multi-Experts Approach for Mechanical Defects' Detection and Diagnosis},
journal ={Computer Information Systems and Industrial Management Applications, International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3184-7},
pages = {59-64},
doi = {http://doi.ieeecomputersociety.org/10.1109/CISIM.2008.57},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Information Systems and Industrial Management Applications, International Conference on
TI - A Hybrid Multi-Experts Approach for Mechanical Defects' Detection and Diagnosis
SN - 978-0-7695-3184-7
SP59
EP64
A1 - Moustapha S?ne,
A1 - Abdennasser Chebira,
A1 - Kurosh Madani,
PY - 2008
KW - Hybrid system
KW - Artificial Intelligence
KW - Fault Detection
KW - Fault Diagnosys
KW - Mechanical Plants
VL - 0
JA - Computer Information Systems and Industrial Management Applications, International Conference on
ER -
 
Compared with parametric classifiers, several advantages set Neural Networks as privileged approaches to be used as discriminating classifiers in performing diagnosis tasks. In this paper, we present a hybrid Multi-Experts neural based architecture for mechanical defects' detection and diagnosis. This solution is evaluated within vibratory analysis frame using a wavelet transform faults' detection scheme.
Index Terms:
Hybrid system, Artificial Intelligence, Fault Detection, Fault Diagnosys, Mechanical Plants
Citation:
Moustapha S?ne, Abdennasser Chebira, Kurosh Madani, "A Hybrid Multi-Experts Approach for Mechanical Defects' Detection and Diagnosis," cisim, pp.59-64, 2008 7th Computer Information Systems and Industrial Management Applications, 2008
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