Abstract
The Steel Catenary Riser (SCR) is an essential component connecting the subsea production system and the offshore floating platform and SCR malfunction leads to disastrous consequences. In order to ensure operation safety, the operating company monitors SCR motion response in real time by installing sensors. This paper aims to develop a multi-sensor information fusion algorithm for SCR risk assessment. The algorithm generates basic probability assignment (BPA) function based on known information. Then, the intuitionistic fuzzy multi-attribute decision matrix is constructed by BPA to evaluate the dynamic reliability of the sensor. Finally, the focal element credibility is calculated to reduce the conflict between evidences, and the improved Desert-Smarandache (DSm) theory fusion rule is utilized to evaluate the SCR risk through decision fusion. The feasibility of this method is verified by the case study. The corresponding risk control strategy is also provided.
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