DocumentCode :
2403741
Title :
Strategies for fault identification in automated systems
Author :
Ribbecke, H.-D. ; Kabitzsch, K. ; Kost, A. ; Richter, A.
Author_Institution :
Fac. of Comput. Sci., Dresden Univ. of Technol., Germany
fYear :
2005
fDate :
1-3 Sept. 2005
Firstpage :
188
Lastpage :
193
Abstract :
This paper demonstrates the increasing importance of fault diagnostics in automated systems. It presents two different approaches for analysing massive data based on outlier detection and multi-scale pattern extraction.
Keywords :
discrete event systems; fault diagnosis; monitoring; pattern recognition; automated systems; fault diagnostics; fault identification; multiscale pattern extraction; outlier detection; Automation; Computer science; Data analysis; Data mining; Debugging; Fault diagnosis; Monitoring; Pattern analysis; Real time systems; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing, 2005 IEEE International Workshop on
Print_ISBN :
0-7803-9030-X
Electronic_ISBN :
0-7803-9031-8
Type :
conf
DOI :
10.1109/WISP.2005.1531656
Filename :
1531656
Link To Document :
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