DocumentCode :
1951372
Title :
A framework for dependability evaluation of industrial processes
Author :
Macedo, Daniel ; Silva, Ivanovitch ; Guedes, Luiz Affonso ; Portugal, Paulo ; Vasques, Francisco
Author_Institution :
DCA, Fed. Univ. of Rio Grande do Norte, Natal, Brazil
fYear :
2013
fDate :
10-13 Sept. 2013
Firstpage :
1
Lastpage :
4
Abstract :
There is a growing need to develop new tools to help end users in tasks related to the design, monitoring, maintenance and commissioning of industrial processes. The complexity of the industrial environment requires that these tools have flexible features in order to provide valuable data at the early planning and design phases. Furthermore, it is known that industrial processes have stringent requirements for dependability (reliability and availability), since failures can cause economic losses, environmental damages and danger to people. The lack of tools that enable the evaluation of faults in industrial processes could mitigate these problems. In this work we present a framework which is able to estimate the reliability and availability of industrial processes that can be modeled as a graph. The framework transforms the graph structure into a Fault Tree model in order to analyze their dependability. In order to validate the proposal we conduct a dependability study of an industrial process.
Keywords :
fault trees; graph theory; process monitoring; process planning; production engineering computing; design phase; economic losses; environmental damage; failure analysis; fault evaluation; fault tree model; graph structure; industrial process availability estimation; industrial process commissioning; industrial process design; industrial process maintenance; industrial process monitoring; industrial process reliability estimation; industrial processes dependability evaluation framework; planning phase; Availability; Fault trees; Hardware; Measurement; Network topology; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
Conference_Location :
Cagliari
ISSN :
1946-0740
Print_ISBN :
978-1-4799-0862-2
Type :
conf
DOI :
10.1109/ETFA.2013.6648117
Filename :
6648117
Link To Document :
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