Internal short circuit fault diagnosis in Battery-Powered propulsion systems for ships using canonical variate analysis and curvilinear manhattan distance

Abstract The battery-powered propulsion system for ships is a key component of new energy ship navigation. However, such systems will inevitably experience failures during operation, thereby resulting in a series of safety accidents. In particular, the event of an internal short circuit fault poses a significant threat to a battery-powered propulsion system for ships. In this paper, we propose a rapid detection and diagnosis method for ISC faults by combining canonical variable analysis and the curvilinear Manhattan distance. The method’s detectability and effectiveness are verified by simulating three ISC faults with different intensities.