Stay Informed:

COVID-19 (coronavirus) information
Zoom Links: Zoom Help | Teaching with Zoom | Zoom Quick Guide

Advancement: Load Monitoring and Fault detection using Time Frequency analysis on DC Loads

Speaker Name: 
Atif Maqsood
Speaker Title: 
PhD Student (Advisor: Keith Corzine)
Speaker Organization: 
Electrical Engineering
Start Time: 
Friday, May 24, 2019 - 10:00am
Location: 
Engineering 2, Room 280
Organizer: 
Keith Corzine

Abstract:  This project explores load monitoring on dc microgrids specifically applied to Naval shipboard power systems. More electronic loads are being placed on Naval ships and, increasingly, more of these loads are pulsed-power in nature; drawing pulsating current from the grid. This presents a challenge for conventional fault monitoring devices as many fault currents are also pulsating in nature and can be difficult to differentiate from a desirable pulse event. Short-time Fourier transform is the technique preferred in this proposal for spectral analysis of the current signals. In addition to event based monitoring, another unsupervised control will be employed to continuously check the frequency content of the current to look for arcing faults caused by loose electrical connections. The goal for the dissertation is to develop a load monitoring algorithm that records the current drawn by these loads and is able to detect events and differentiate between desirable events and faults using their frequency content in run-time. The algorithm will be realized on an appropriate microcontroller unit and validated on a low-voltage dc testbed.