DocumentCode :
2546132
Title :
Integrated reliability metrics to assess fault tolerant control system
Author :
Wang, Shaoping ; Tomovic, Mileta M. ; Shi, Jian
Author_Institution :
Beihang Univ., Beijing
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
1310
Lastpage :
1315
Abstract :
This paper presents an integrated reliability definition and mathematical metrics based on function reliability and performance reliability, in which the function reliability highlights failure causality from system to components and the performance reliability focuses on the dynamic performance degradation with operational time. Based on the simulation techniques, this paper establishes the simulation template for typical control system that can describe the dynamic process of performance in continuous time until the parameters exceed the designated threshold. Considering the influence of monitoring voting system, this paper establishes the Markov model with fault detection rate, isolation rate and false alarm rate, investigates the influence to whole system reliability of such factors. Application of triple redundant actuator indicates that the integrated reliability assessment makes full use of the advantages on dynamic fault tree analysis, Markov Model and control performance simulation, and solves the difficulties on calculating reliability considering the characteristics of monitoring system and performance degradation.
Keywords :
Markov processes; condition monitoring; fault tolerance; reliability theory; Markov model; dynamic fault tree analysis; failure causality; false alarm rate; fault detection rate; fault tolerant control system; function reliability; isolation rate; mathematical metrics; monitoring voting system; performance reliability; reliability metrics; triple redundant actuator; Actuators; Control system synthesis; Control systems; Degradation; Fault detection; Fault tolerant systems; Fault trees; Monitoring; Reliability; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4413982
Filename :
4413982
Link To Document :
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