海上恶劣环境下遥控潜水器(ROV)操作失效评估

IF 0.5 Q4 TRANSPORTATION
S. Nitonye, Sidum Adumene, C. U. Orji, Anietie Effiong Udo
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引用次数: 2

摘要

为了有效地评估海洋环境中海洋机器人的完整性,需要了解元件的失效特征。提出了一种用于ROV作业失效评估(OFA)特征的结构化概率方法。第一步是评估ROV系统及其支持系统的可能失效模式。这捕获了操作期间的交互和故障引起的事件。将识别出的潜在失效模式进一步发展为基于因果关系的逻辑连接。采用故障树分析技术对逻辑框架进行建模,预测ROV在不确定恶劣环境下的操作失效概率。故障树分析捕获主事件、中间事件和顶级事件概率之间的逻辑关系。采用重要性度量准则来识别最可能发生的事件、环节及其对故障传播的重要性。该模型在北极深水水下作业的ROV中进行了验证。结果表明,控制系统、通信连接、人为因素等是造成ROV操作故障的最关键因素。该方法的应用提供了ROV系统平均故障间隔时间(MTBF)的核心信息,有助于完整性管理,并为全面故障的早期补救措施提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Operational failure assessment of Remotely Operated Vehicle (ROV) in harsh offshore environments
For an effective integrity assessment of marine robotic in offshore environments, the elements’ failure characteristics need to be understood. A structured probabilistic methodology is proposed for the operational failure assessment (OFA) characteristics of ROV. The first step is to assess the likely failure mode of the ROV system and its support systems. This captures the interaction and failure induced events during operation. The identified potential failure modes are further developed into logical connectivity based on the cause-effect relationship. The logical framework is modeled using the fault tree analysis technique to predict the ROV operational failure probability in an uncertain harsh environment. The fault tree analysis captured the logical relationship between the primary, intermediate, and top events probability. The importance measure criteria were adopted to identify the most probable events, links, and their importance on the failure propagation. The model was demonstrated with an ROV for deep arctic water subsea operations. The result identified the control system, communication linkages, human factor, among others, as most critical in the ROV operational failure. The methodology’s application provides core information on the Mean time between failure (MTBF) of the ROV system that could aid integrity management and provides a guide on early remedial action against total failure.
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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
19
审稿时长
8 weeks
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