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Study of Reliability Modeling for Safety Instrumented System Based on Markov Model Method

Author: WuNingNing
Tutor: WuMingGuang
School: Zhejiang University
Course: Systems Engineering
Keywords: Safety Instrumented Systems Markov modeling Safety Integrity Level MarkovSIL Average risk of loss of efficiency
CLC: N945.12
Type: Master's thesis
Year: 2010
Downloads: 165
Quote: 2
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Abstract


The rapid industrial development in the tremendous progress and brought to mankind, also increases the probability of a catastrophic accident. In order to improve the safety of industrial production, safety instrumented systems (SIS, Safety Instrumented System) application in different areas, to protect personnel from hazards. In order to reduce the frequency of occurrence of the disaster, to ensure the safe operation of production, safety instrumented system reliability modeling is essential. Reliability modeling methods for safety instrumented system is based on the fault tree model, simplified formula method, reliability analysis (Markov) model based on Markov relatively small. Simplify the formula and fault tree model is easy to use, but the application of the model is often based on certain assumptions, such assumptions often bring the calculated deviation and invalid. For the above, this topic is mainly carried out the following tasks: 1. Easily calculated based on the Markov model SIS reliability analysis and safety integrity level SIL (safety Integrity Level), based on the environmental development Matlab7.1 and Vb6.0 the SIL calculation software MarkovSIL. This software can effectively achieve the safety instrumented system reliability modeling as well as the probability of a dangerous failure PFD (Probability of Failure on Demand), security failure probability of PFS (Probability of failure parameters calculated Failing Safely) and SIL. Can be used both for the the SIS design phase, but also for the the SIS assessment phase, and has a friendly interface, flexible modeling, and convenient operation. High risk of fire and explosion problems for circulating hydrogen furnace using MarkovSIL Software combined risk map analysis techniques, by changing the the redundant test cycle measures designed to meet the appropriate safety instrumented system for SIL level. Markov model with fault tree method compared to the results to verify the validity of MarkovSIL software and good precision, some reference for subsequent safety instrumented system modeling design. 3. Analysis and comparison of the different options for basic process control systems and safety instrumented system independent design and combination of design, 1oo2 structure of dual-channel failure parameters Markov modeling approach. Testing and repair for a non-ideal situation, by changing the state of the model, and the transition matrix P, the improved scheme of the Markov model. Markov modeling in the case of non-ideal detection.

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CLC: > SCIENCE AND > Journal of Systems Science > Systems Engineering > Systems Analysis > System model,system modeling
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