Prediction Method for RUL of Underwater Self-Enhancement Structure: Subsea Christmas Tree High-Pressure Valve Actuator as a Case Study

Underwater pressure-bearing structures are produced in practice by means of pressure self-enhancement methods order to improve the stress distribution and enhance performance. On other hand, pairs equation shows that is an important factor influencing degradation structure. In fact, improving will not only performance, but have impact on life trend. Thus, affects structural changing distribution. With this mind, paper considers effect service time subsea structures, a Bayesian network (BN)-based method can be used predict remaining useful (RUL) underwater self-enhanced proposed. The also takes into account influence multiple sources factors RUL structure more accurately. process all-electric Christmas tree valve actuator as case study. prediction results compared with data literature verify validity method. implications for guidance O&M assurance production systems.