The sensors abnormalities, faults, failure detection and diagnosis for marine engines are considered crucial for ensuring the engine safe and smooth operation. The development of such system(s) is typically based on the manufacturers experience on sensors and actuators faults and failure events. This study aims to introduce a novel methodology for the sensors diagnostics and health management in marine dual fuel engines by employing a combination of thermodynamic, functional control and data-driven models. The concept of an Engine Diagnostics System (EDS) is developed to provide intelligent engine monitoring, advanced sensors’ faults detection as well as timely and profound corrective actions. This system employs a neural networks (NN) Data-Driven (DD) model along with appropriate logic controls. The DD model is set up based on the derived steady state data from a thermodynamic model of high fidelity and is capable of real-time prediction of the engine health condition behaviour. The concept of a novel Unified Digital System (UDS) is proposed that combines the engine’s existing control and diagnostic systems with the EDS. The functionality of the UDS system is validated by employing a digital twin of the considered marine dual fuel engine by investigating scenarios for assessing the engine performance that entail abnormalities in the engine’s speed and boost pressure sensors. The simulation results demonstrate that the developed UDS is capable of sufficiently capturing the engine’s sensors abnormalities and applying appropriate corrective actions to restore the engine operation in its original state. This study benefits the development future systems facilitating the engines condition assessment and self-correction of the engine sensors’ abnormalities, which will be required for smart and autonomous shipping.

船用发动机的传感器异常，故障，故障检测和诊断被认为对确保发动机安全和平稳运行至关重要。这种系统的开发通常基于制造商在传感器和执行器故障和故障事件方面的经验。这项研究旨在通过结合热力学，功能控制和数据驱动模型，为船用双燃料发动机引入传感器诊断和健康管理的新方法。发动机诊断系统（EDS）的概念旨在提供智能的发动机监控，高级传感器的故障检测以及及时而深刻的纠正措施。该系统采用神经网络（NN）数据驱动（DD）模型以及适当的逻辑控制。DD模型是基于从高保真度热力学模型中导出的稳态数据建立的，能够实时预测发动机的健康状况。提出了一种新颖的统一数字系统（UDS）的概念，它将发动机的现有控制和诊断系统与EDS相结合。通过研究用于评估发动机性能的方案来评估UDS系统的功能，该方案是通过考虑使用的船用双燃料发动机的数字孪生发动机来进行的，这些方案评估了发动机转速和增压压力传感器的异常。仿真结果表明，开发的UDS能够充分捕获发动机的传感器异常并采取适当的纠正措施，以将发动机恢复到其原始状态。