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Modelling and Optimization of Proof Testing Policies for Safety Instrumented Systems by A.C. Torres-Echeverría; S. Martorell; H.A. Thompson is a Engineering article available to read on EtoBox.

What is Modelling and Optimization of Proof Testing Policies for Safety Instrumented Systems about?

This paper introduces a new development for modelling the time-dependent probability of failure on demand of parallel architectures, and illustrates its application to multi-objective optimization of proof testing policies for safety instrumented systems. The model is based on the mean test cycle, which includes the different evaluation intervals that a module goes periodically through its time in service: test, repair and time between tests. The model is aimed at evaluating explicitly the effects of different test frequencies and strategies (i.e. simultaneous, sequential and staggered). It includes quantification of both detected and undetected failures, and puts special emphasis on the quantification of the contribution of the common cause failure to the system probability of failure on demand as an additional component. Subsequently, the paper presents the multi-objective optimization of proof testing policies with genetic algorithms, using this model for quantification of average probability of failure on demand as one of the objectives. The other two objectives are the system spurious trip rate and lifecycle cost. This permits balancing of the most important aspects of safety

Who reads Modelling and Optimization of Proof Testing Policies for Safety Instrumented Systems?

Author

A.C. Torres-Echeverría; S. Martorell; H.A. Thompson

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0951-8320)

Published

2009

Language

EN

Field

Engineering (Physical Sciences)