Title :
Information model for power equipment diagnosis and maintenance
Author :
Dong, Xuzhu ; Liu, Yilu ; LoPinto, Frank A. ; Scheibe, Kevin P. ; Sheetz, Steven D.
Author_Institution :
Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
Existing maintenance experience and failure analysis are critical to equipment diagnosis and maintenance. Current maintenance information management cannot satisfy the convenient access, exchange, and sharing of the maintenance information. This paper develops a uniform information model used for data organization, access, sharing, and archiving related to equipment diagnosis and maintenance. The modeled information includes equipment and its components, measurement data, failure cases, documentation, etc. With this information model, diagnosis and maintenance information collected by one utility can be easily accessed and shared by other utilities, or applications. As an example, a conceptual digital library for power equipment diagnosis and maintenance is discussed to validate the information model.
Keywords :
digital libraries; information systems; maintenance engineering; power apparatus; power engineering computing; specification languages; UML; common information model; conceptual digital library; data access; data archiving; data organization; data sharing; documentation; failure cases; maintenance; maintenance information management; measurement data; power equipment diagnosis; power equipment maintenance; universal modeling language; Computer integrated manufacturing; Databases; Documentation; Failure analysis; History; Information management; Power measurement; Software libraries; Testing; Unified modeling language;
Conference_Titel :
Power Engineering Society Winter Meeting, 2002. IEEE
Print_ISBN :
0-7803-7322-7
DOI :
10.1109/PESW.2002.985093