Fault detection via data-driven K-gap metric with application to ship propulsion systems

In this paper, a fault detection scheme based on the data-driven K-gap metric is proposed. Using the I/O data collected from the process, a computation identification of the K-gap metric between the fault free system and the fault system is derived, based on which a fault detection threshold is set with the consideration of system disturbance. A case study on a ship propulsion system is presented at the end of the paper and demonstrate the effectiveness of the proposed results.