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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
Print_ISBN :
0-7803-8248-X
DOI :
10.1109/IMTC.2004.1351494
