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Functional Safety

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White Paper<br />

Tino Vande Capelle, Dr. M.J.M. Houtermans<br />

<strong>Functional</strong> <strong>Safety</strong>: A Practical Approach<br />

for End-Users and System Integrators<br />

Path 1 Failed<br />

T1 Tm1 I1<br />

Path 2 Failed<br />

T2 Tm2 I2<br />

<strong>Safety</strong> Function Failed<br />

Input Failed Logic Failed<br />

CC CPU CC O1 O2 O3<br />

Fig. 4. Simplified fault tree diagram safety function<br />

Output Failed<br />

SOV Drain R1 R2 R3<br />

Valve<br />

Research has indicated that Markov analysis is the most complete and suitable technique<br />

for safety calculations. Markov is a technique that captures transitions between two unique<br />

states. In terms of safety this means the working state and the failed state. Going from one<br />

state to the other can either be caused by a failure of a component or by repair of a<br />

component. Therefore a Markov model is also called a state transition diagram. See Figure<br />

5 for the Markov model of the safety function of Figure 1. Once the Markov model is created<br />

and the rate of transition is known between two states (that is the failure rate or repair rate) it<br />

is possible to solve the Markov model and calculate the probability of being in a state.<br />

OK<br />

Path 1<br />

Failed<br />

Path 2<br />

Failed<br />

Fig. 5. Markov model safety function<br />

System<br />

Failed<br />

HIMA <strong>Functional</strong> <strong>Safety</strong> Consulting Services Page 17

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