DocumentCode
1807554
Title
Diagnosis for intelligent field devices using the rough set theory
Author
Magro, Micacla Cascrza ; Pinceti, P.
Author_Institution
Dept. of Electr. Eng., Univ. of Genova, Italy
Volume
3
fYear
2004
fDate
18-20 May 2004
Firstpage
2060
Abstract
In this paper the application of Rough Set Theory (RST) to predictive maintenance problems is considered. Here, RST is used in Knowledge Discovery in Database (KDD) process applied data stored by Intelligent Field Devices (IFD). The main RST features are outlined and analyzed with the help of a working example.
Keywords
data mining; diagnostic reasoning; field buses; rough set theory; computational complexity; data mining; diagnostic reasoning; discriminating logic; intelligent field devices; knowledge discovery in database; predictive maintenance; pressure transmitter; rough set theory; self-diagnosis; Clinical diagnosis; Costs; Data engineering; Data mining; Databases; Intelligent actuators; Medical diagnosis; Predictive maintenance; Set theory; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
ISSN
1091-5281
Print_ISBN
0-7803-8248-X
Type
conf
DOI
10.1109/IMTC.2004.1351494
Filename
1351494
Link To Document