DocumentCode
2030516
Title
Design of Resource Space Model in Fault Diagnosis Knowledge of Rotating Machinery
Author
Tao, Jie
Author_Institution
Hunan Knowledge Grid Lab., Hunan Univ. of Sci. & Technol., Xiangtan
fYear
2008
fDate
3-5 Dec. 2008
Firstpage
501
Lastpage
502
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SKG.2008.10
Filename
4725979
Link To Document