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- W2756657152 abstract "To make the ship meet the requirements of ship institutions and the relevant norms in all respects, the inspection agencies check new building ships. Shipping plan approval is an important part of shipbuilding inspection, the critical task of which is to find errors in the ship engineering drawings and identify the possible safety risk. But, the surveyor sometimes can't catch the knowledge completely and exactly. The good measure to solve this problem is to structure the experience of senior surveyor and norms of risk knowledge by sensors on the ships. The method of automatically identifying risks by computer is to deal with the uneven level of inspection agencies and lack of technical personnel experience of plan approval. This paper summarizes the safety risks and risk factors of the shipbuilding inspection, interprets the acquisition process of risk identification rules, and the production of rule extensions and the storage of rule structures, on which the knowledge storage method of risk identification is put forward. It also develops the calculation method of risk factor weight values using sensitivity analysis method and fault tree analysis method (FTA). Finally, the result is illustrated by the example of the main propulsion system of a 2000m'/h self-propelled sucker dredger in the Yangtze River, and the software of Isograph is used to analyze the safety risk identification of the gear lubricating oil system. As a result, the problem can be solved by the method of automatically identify risks." @default.
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- W2756657152 date "2017-08-01" @default.
- W2756657152 modified "2023-09-25" @default.
- W2756657152 title "The research on rule-based method to automatic risk identification for shipbuilding inspection" @default.
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- W2756657152 doi "https://doi.org/10.1109/ictis.2017.8047921" @default.
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