DocumentCode
2580943
Title
Design on the Fault Diagnostic System Based on Virtual Instrument Technique
Author
Lv, Shijun ; Zhang, Minghu ; Li, Youfeng ; Yu, Xiaojuan
Author_Institution
Dept. of Training, Dalian Naval Acad., Dalian
fYear
2009
fDate
23-25 Jan. 2009
Firstpage
304
Lastpage
307
Abstract
Virtual instrument (VI) is one of the most prevalent technologies in the domain of testing, control and fault diagnosis systems, etc. In order to update entirely the means of the equipment testing for shipboard equipment, the fault diagnostic system for shipboard equipment is developed, based on VI technology, Delphi and database. The performance and constitutes of VI are introduced briefly. The modularization and universalization are proposed in its database-based design concept, realizing the design of software and hardware. The ODBC technique is applied for the interconnection of databases to ensure the generality and flexibility of the system. The aim of this design is to resolve the problems existing in the usage of testing equipments. The system mode the best of VI platform and grey diagnosis method, broke through conventional check diagnosis patterns for warships equipment, solved the problems of state prediction and trouble-mode recognition of warships equipment. It has been proved from the application that the system has merits both the testing speed and high accuracy.
Keywords
fault diagnosis; military computing; military equipment; performance evaluation; ships; test equipment; virtual instrumentation; ODBC technique; database-based design concept; fault diagnostic system; grey diagnosis method; modularization; shipboard equipment testing; state prediction; virtual instrument technique; warship equipment; Chemical analysis; Chemical technology; Computer displays; Databases; Fault diagnosis; Hardware; Instruments; Software measurement; Software testing; System testing; Designs of fault diagnosis system; Diagnostic ratiocination; VI technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location
Moscow
Print_ISBN
978-0-7695-3543-2
Type
conf
DOI
10.1109/WKDD.2009.138
Filename
4771937
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