Fault Detection and Harmonics Mitigation in Diesel Electric Ships Using IIOT Edge Devices

Diesel electric ships have been identified by the various marine classification societies to be at operational risk due to power quality problems. To deal with power quality issues, the industrial internet of things (IIOT) provides a framework for monitoring, fault detection and harmonic mitigation in the electric power systems on board. This involves collecting electrical sensor data on the vessel and using FFT analysis to decompose the signals into its frequency components. We calculate the positive, negative and zero-sequence components of the three phases. This information is used for fault diagnosis and reduction of the total harmonic distortion by the use of active filters applied in parallel to the load. In this paper, we present an architecture and framework for implementation of the fault diagnosis which is an integral part of a Condition based Health system for marine applications.