DocumentCode :
3629047
Title :
Model based fault detection and isolation for robot manipulators with M-ANFIS and NN
Author :
Tolga Yuksel;Abdullah Sezgin
Author_Institution :
Elektrik-Elektronik M?hendisli?i B?l?m?, Ondokuz Mayis ?niversitesi , Samsun, Turkey
fYear :
2008
fDate :
4/1/2008 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
With the growing technology fault detection and isolation became one of the interesting and important research areas in automatic control and signal processing. Besides specific missions like waste treatment in nuclear reactors or data collection in space and underwater missions, robots used in automation must be very reliable and this demand forced researchers to adapt available fault isolation studies to robotics. In this study a model based fault isolation system using ANFIS and NN is proposed.
Keywords :
"Robots","Mathematical model","Artificial neural networks","Fault detection","Legged locomotion","Computational modeling","Manipulators"
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th
ISSN :
2165-0608
Print_ISBN :
978-1-4244-1998-2
Type :
conf
DOI :
10.1109/SIU.2008.4632566
Filename :
4632566
Link To Document :
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