Shipboard condition based maintenance and integrated power system initiatives

With the U.S. Navy's continued focus on developing and implementing a robust integrated power system aboard future combatants, there has been an ever increasing effort to guarantee an electrical distribution system that maintains maximum capabilities in the event of a system fault. It is believed that the implementation of a device such as a non-intrusive load monitor (NILM) can greatly assist in the preemptive detection of such faults and failures. Ongoing NILM research conducted at Massachusetts Institute of Technology's Laboratory for Electromagnetic and Electronic Systems (LEES) is exploring the application of NILM technology in shipboard environments. The NILM's unique ability to the monitor the power usage profile of these systems can be used to immediately diagnose system casualties and unusual operation parameters. Additionally, research has shown that the NILM can be used effectively and reliably, to monitor equipment health, recognize and indicate abnormal operating conditions and casualties and provide invaluable information for training operators, diagnosing problems and troubleshooting. This thesis will discuss how this frequency content of the aggregate measurement can be used to assess the health of motors. Experiments were conducted in the confines of LESS in addition to aboard USCGC ESCANABA (WMEC-907), a 270-foot Coast Guard Cutter, in order to better understand the system dynamics in a real life environment. To further support the US Navy's integrated power system initiatives two hardware models of a shipboard electrical propulsion drive system were constructed, an MVDC propulsion simulation and a doubly-fed machine propulsion model. These simulations were built for the purpose of testing innovative integrated propulsion system theories, algorithms, configurations and new electric propulsion concepts.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Mechanical Engineering.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2011

Author dc:creator

• Barber, Darrin E. (Darrin Eugene)

Advisor dc:contributor.advisor

• Steven B. Leeb.

• Mechanical Engineering.
• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/68571

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/68571