DocumentCode :
3501684
Title :
Probabilistic safety assessment and management of control laws based on strict Markov analysis
Author :
Suyama, Koichi ; Kosugi, Nobuko
Author_Institution :
Tokyo Univ. of Marine Sci. & Technol., Tokyo, Japan
fYear :
2009
fDate :
3-5 Nov. 2009
Firstpage :
1706
Lastpage :
1711
Abstract :
This paper presents a probabilistic safety assessment and management framework based on strict Markov analysis according to the international safety standard, IEC 61508. The framework enables us to take possible common-cause failures into consideration, whose measures are important from a practical viewpoint of system safety. Also the framework establishes the existence of a trade-off between safety and guaranteed control performance quantitatively for the first time ever.
Keywords :
IEC standards; Markov processes; electrical safety; probability; IEC 61508; control law management; international safety standard; probabilistic safety assessment; strict Markov analysis; Actuators; Control systems; Exponential distribution; Frequency; IEC standards; Logic devices; Reliability theory; Risk management; Safety devices; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
Conference_Location :
Porto
ISSN :
1553-572X
Print_ISBN :
978-1-4244-4648-3
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2009.5414821
Filename :
5414821
Link To Document :
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