A systematic approach of analysing offshore maintenance data

This paper presents a systematic methodology for analyzing the maintenance data of offshore system to gain insight about the system reliability performance and identify the critical factors influencing the performance. The study approach is based on problem and data-led rather than technique-driven. The results of trend test propose that the system under studied can be modeled using a simple Homogeneous Poisson process (HPP) where the failure rate is constant. Analyses of covariates are done using Kaplan Meier and Proportional hazards models. The results indicate that the preventive maintenance (PM) plus engine wash has a significance positive influence on the system failure distribution.