Reliability Estimation Using EM Algorithm with Censored Data: A Case Study on Centrifugal Pumps in an Oil Refinery

Centrifugal pumps are widely employed in the oil refinery industry due to their efficiency and effectiveness fluid transfer applications. The reliability of plays a pivotal role ensuring uninterrupted plant productivity safe operations. Analysis failure history data shows that bearings have been identified as critical components pump groups. Analyzing historical for such systems is complex task censored missing information. This paper addresses complexity estimating Weibull distribution parameters using maximum likelihood method under these conditions. equation lacks an explicit analytical solution, necessitating numerical methods resolution. proposed approach presented this article leverages expectation maximization (EM) algorithm real-world case study engineering system. results demonstrate superior performance EM with data, showcasing its ability overcome limitations traditional provide more accurate estimates metrics. highlights importance obtaining through methodologies analysis facilitating informed decision making systems.