DocumentCode
128729
Title
Research of a fault tree-based real-time diagnosis and monitoring platform
Author
Ling Mu ; Yuan Haiwen ; Wu Qicai ; Tian Bo ; Yuan Haibing ; Huang Cao
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear
2014
fDate
9-11 June 2014
Firstpage
1893
Lastpage
1897
Abstract
Fault tree modeling and analysis methods are being developed in academic and industrial. This paper designed a real-time diagnose method based on the .NET platform, combining the fault tree analysis (FTA) and real-time systems. Use SQL Server as the knowledge-base to store the information. Take the fault tree information and monitoring data as inputs, diagnose the real-time alarm of the system using minimal cut set algorithm (MCS).Finally test and verify the method by simulation.
Keywords
SQL; computerised monitoring; fault diagnosis; fault trees; real-time systems; .NET platform; MCS; SQL server; fault tree analysis; minimal cut set algorithm; monitoring platform; real-time diagnosis method; real-time systems; Databases; Educational institutions; Fault trees; Logic gates; Monitoring; Real-time systems; Software; CAN Bus; Fault Diagnose; Fault Tree; Real Time; mcs;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-4316-6
Type
conf
DOI
10.1109/ICIEA.2014.6931477
Filename
6931477
Link To Document