LAUSR

Abstract In general, the equipment failures or accidents of offshore plants during operation and maintenance (O&M) period cause catastrophic damage. Thus, it is necessary to undertake proactive maintenance in advance in order to avoid abnormal situations. Currently, owing to the emergence of information communication technologies (ICTs) and sensor technologies, it is possible to gather the health status data of important equipment and use this information for maintenance during the O&M period. It sheds light on condition-based maintenance (CBM) strategy. In this study, we introduce a case study on the development of a CBM system (CBMS) for an oil and gas offshore plant, i.e. liquefied natural gas floating production storage and offloading vessel (LNG FPSO). The study includes the introduction of the system architecture, main components, diagnostics and prognostics methods of the system, as well as a discussion of its implementation.