• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Reliability Engineering & System Safety >Risk assessment of the operations of maritime autonomous surface ships
【24h】

Risk assessment of the operations of maritime autonomous surface ships

机译：海上自治表面船舶运营风险评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Maritime Autonomous Surface Ships (MASS) are attracting increasing attention in the maritime industry. Despite the expected benefits in reducing human error and significantly increasing the overall safety level, the development of autonomous ships would undoubtedly introduce new risks. The overall goal of this work is to develop an approach to evaluate the risk level of major hazards associated with MASS. To that extent, a Failure Modes and Effects Analysis (FMEA) method is used in conjunction with Evidential Reasoning (ER) and Rule-based Bayesian Network (RBN) to quantify the risk levels of the identified hazards. The results show that 'interaction with manned vessels and detection of objects' contributes the most to the overall risk of MASS operations, followed by 'cyber-attacks', 'human error' and 'equipment failure'. The findings provide useful insights on the major hazards and can aid the overall safety assurance of MASS.
机译：海上自治表面船（质量）在海上行业中吸引了越来越关注。尽管在减少人类误差并显着提高整体安全水平的预期效益，但自治船舶的发展无疑会引入新的风险。这项工作的整体目标是制定一种评估与质量相关的主要危害风险水平的方法。在这种程度上，失败模式和效果分析（FMEA）方法与证据推理（ER）和基于规则的贝叶斯网络（RBN）结合使用，以量化所识别的危险的风险水平。结果表明，“与载有载物的互动和对象的检测”贡献了大规模运营的总体风险，其次是“网络攻击”，“人为错误”和“设备故障”。调查结果为主要危害提供了有用的见解，可以帮助质量的整体安全保证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号