Shipboard Aggregate Power Monitoring

Abstract

Modern naval warships rely on vast arrays of sensor networks to evaluate the performance of mission critical systems. The power distribution network offers an alternative solution for tracking the performance of mission critical systems. Research conducted at Massachusetts Institute of Technology's Laboratory for Electromagnetic and Electronic Systems (LEES) has proven that the power distribution network contains vital information that can provide performance monitoring and automatic diagnostic functions. This thesis will address the issue of sensor-count reduction through the application of Non-Intrusive Load Monitoring (NILM) technology. Theoretical studies and field experiments will be presented in order to demonstrate the NILM's ability to correlate load activity with power measured from an aggregate level in the distribution system. Additionally, a critical evaluation is conducted on the current NILM configuration's ability to perform automated classification. Findings will be supported using data collected from NILMs monitoring power flow on board the U.S. Coast Guard Cutter ESCANABA (WMEC-907).

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2009
Accession Number
ADA541036

Entities

People

  • Keith P. Douglas

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Coast Guard
  • Compressors
  • Control Panels
  • Conversion Ratio
  • Cross Correlation
  • Data Acquisition
  • Detection
  • Detectors
  • Information Science
  • Kalman Filters
  • Load Monitoring
  • Machine Learning
  • Mechanical Engineering
  • Navy
  • Signal Processing
  • Uss Yorktown

Readers

  • Computer Networking
  • Electrical Engineering
  • Facility/Structural Engineering.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems