Adaptive fault detection tool for real-time integrity monitoring of Subsea Control Systems

This paper investigates the use of computational intelligence (CI) techniques, alongside mathematical and statistical models, to effectively assess the state and conditions of subsea controls systems from sensor data. The main focus of the work is to apply the CI techniques to the process of fault detection and identification (FDI) by developing a generic framework capable of performing the FDI activities pro-actively and in real-time. The proposed framework has been implemented and evaluated on two experimental datasets, demonstrating the viability and benefits of the suggested approach to adaptive fault detection.