Digital Twin Technology in Marine Power System Operation and Maintenance

Abstract

The marine power system is the core for propulsion, generating electricity and supporting operation of main equipment. Its operation and maintenance is therefore particularly important. However, traditional operation and maintenance approaches have certain deficiencies in equipment condition monitoring, anomaly detection, and maintenance decision-making, and remain reactive rather than proactive. Digital twin technology applied to intelligent operation and maintenance of the marine power system can identify faults in advance and suggest maintenance decisions. This paper adopts the methods of literature review and case analysis to summarise the applications of digital twin technology in the monitoring of marine power system operations, fault diagnosis and predictive maintenance. Digital twin technology connects physical devices with virtual models and plays a key role in monitoring, analysing and predicting the operating status of equipment as well as providing intelligent maintenance decisions. However, the current application still faces issues such as difficulties in data acquisition and sharing, single models and insufficient engineering verification. The future will require progress in areas such as standardising data formats, uploading to globally shared cloud platforms, upgrading hybrid virtual models, and conducting long-term experimental verification.