Reliability analysis of deep-water drilling man-machine interface system based on DBN

doi:10.16265/j.cnki.issn1003-3033.2018.01.021

Abstract

Abstract: For the sake of improving human-machine cooperation, a reliability analysis of deep-water drilling man-machine interface system was carried out based on DBN approach. According to human-machine interaction procedures, safety barrier structure of the system was built and converted into a DBN model. Based on time-property of DBN, relationships between reliability of both system and subsystems and time, under non-maintenance and maintenance conditions, were analyzed. Using posterior reasoning and sensitivity analysis of DBN, weak risk points of human-machine surface system were identified. The results show that the maintenance is the key factor affecting the reliability of human-machine surface system, and that under the maintenance condition, human factor has the greatest influence on the reliability of deep-water drilling man-machine interface system.

Key words: deep-water drilling, human-machine interface, dynamic Bayesian network(DBN), safety barrier, reliability analysis

CLC Number:

X913.4

CHEN Jie, CHEN Guoming, LI Xinhong, YANG Dongdong, GENG Kaiyue, LIU Changxin. Reliability analysis of deep-water drilling man-machine interface system based on DBN[J]. China Safety Science Journal, 2018, 28(1): 124-129.

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