This paper describes the failure assessment of the unloading arm unit that is connected to a Liquified Natural Gas (LNG) terminal. In this work, an external event, i.e., lightning, was simulated as the triggering event. A Temporal Fault Tree (TFT) analysis was developed, and sequential failures that function under the Priority AND (PAND) gate were assessed.

The results show that the highest contributing factor to the failure of the terminal unloading arm was the sequential failure due to the loss of sensors which can happen before or after lightning strikes. The occurrence of failures for the loading arm was estimated using a Monte Carlo Simulation (MCS). For service years of 32.7, the sequential failures occurred 131 times when preventive maintenance was not considered. This work also presents that the failure distribution of the marine loading arm follows the Weibull distribution characteristic with the scale (α) and the shape (β) parameters values of 132,817.5 h^-1 and 1.556, respectively.

本文介绍了连接到液化天然气 (LNG) 终端的卸载臂装置的故障评估。在这项工作中，外部事件，即闪电，被模拟为触发事件。时间故障树（TFT）分析被开发，以及顺序故障，该下函数P riority AND（PAND）门进行了评估。

结果表明，终端卸载臂故障的最大影响因素是由于雷击前后可能发生的传感器丢失而导致的连续故障。使用蒙特卡罗模拟 (MCS) 估计加载臂的故障发生率。对于 32.7 年的服务年限，在不考虑预防性维护的情况下，连续故障发生了 131 次。这项工作还表明，海上装载臂的失效分布遵循威布尔分布特征，尺度 (α) 和形状 (β) 参数值分别为 132,817.5 h ^-1和 1.556。