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