Subsea Autonomous High Integrity Pressure Protection System is used in the subsea production process to lower the pressure level of downstream equipment and pipelines and to protect low-pressure pipelines and equipment. Once failure occurs, it will cause serious environmental damage and huge economic losses. In this article, a method of Dynamic Bayesian networks is proposed based on different failure types detected by different test methods. The reliability and availability of HIPPS with different detection methods were analyzed quantitatively. The results show that the performance of the system is improved significantly after inspection and maintenance. Compared with traditional methods, the performance of HIPPS is improved after the partial stroke test is introduced. Through sensitivity analysis, it is found that failure rates have a greater impact on the reliability of HIPPS valves. Increasing partial stroke test coverage can improve HIPPS performance. To improve the reliability of HIPPS, it is necessary to improve the reliability of the execution unit, especially the HIPPS valves. The analysis of the PST strategy can provide a theoretical basis for selecting the frequency of partial stroke test and functional test interval in actual projects.

海底生产过程中使用了海底自主高完整性压力保护系统，以降低下游设备和管道的压力水平，并保护低压管道和设备。一旦发生故障，将造成严重的环境破坏和巨大的经济损失。本文提出了一种基于不同测试方法检测到的不同故障类型的动态贝叶斯网络方法。定量分析了不同检测方法对HIPPS的可靠性和可用性。结果表明，经过检查和维护，系统的性能得到了显着提高。与传统方法相比，引入部分行程测试后，HIPPS的性能有所提高。通过敏感性分析 发现故障率对HIPPS阀的可靠性影响更大。增加部分行程测试的覆盖范围可以提高HIPPS性能。为了提高HIPPS的可靠性，有必要提高执行单元尤其是HIPPS阀的可靠性。PST策略的分析可以为实际项目中选择部分行程测试的频率和功能测试间隔提供理论依据。