Title :
Design of Resource Space Model in Fault Diagnosis Knowledge of Rotating Machinery
Author_Institution :
Hunan Knowledge Grid Lab., Hunan Univ. of Sci. & Technol., Xiangtan
Abstract :
In this paper, we introduce the resource space model (RSM) which is a novelty semantic data model, to semantically store and manage information. Then we use the methods to classify some rotating mechanical fault diagnosis knowledge in semantic, construct RSM of part rotating mechanical fault diagnosis knowledge. In the end, we simply analyze the modelpsilas semantic characteristics in searching and management.
Keywords :
electric machine analysis computing; electric machines; fault diagnosis; storage management; fault diagnosis knowledge; intelligent diagnosis system; novelty semantic data model; resource space model; rotating machinery; Data models; Fault diagnosis; Knowledge management; Machinery; Manufacturing; Mechanical variables measurement; Resource management; Rotation measurement; Space technology; Vibration measurement; coordinates; mechanical fault diagnosis; resource searching; resource space model (RSM); semantic classification;
Conference_Titel :
Semantics, Knowledge and Grid, 2008. SKG '08. Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3401-5
Electronic_ISBN :
978-0-7695-3401-5
DOI :
10.1109/SKG.2008.10
