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Bayesian Networks application and subsea pipeline
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Maritime engineering standards for production processes, but is more likely reduce project risks losing expertise and know it's going, so when the lack of experienced experts, or only spoken language while describing the qualitative experience, how to establish a clear risk factor structure, and to quantify and control risks factors, are also subject. Study of the submarine pipeline in marine engineering is set as an example, removals, analysis of literature, and in cooperation with marine engineering companies, expert interviews, confirmed the risk factor of the pipe on the seabed, then application express framework law to find out what the causal factor network diagram, then take this from an expert to fill in conditional probability tables, completed construction of Bayesian Networks. Research shows use of Bayesian Networks to forecast, early operations course for late homework is affected when carrying out ex post facto inferences, can identify the pre
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