Condition-Based Maintenance Algorithms for Power Converters using Wide-bandgap Devices

Abstract

The objective of this project is to predict failures and remaining useful life in power electronic building blocks (PEBBs) comprising Silicon Carbide (SiC) devices. The conditionbased maintenance algorithms will be demonstrated on a DC/DC High Frequency Transformer made using 1.7 kV SiC devices. The project will be in collaboration with Dr. John S. Donnal, who has pioneered non-intrusive load monitoring technology, from the United States Naval Academy (USNA).

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 23, 2021
Accession Number
AD1166637

Entities

People

  • Arijit Banerjee
  • John S. Donnal
  • Joseph Zatarski
  • Patrick Wang

Organizations

  • United States Naval Academy
  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Converters
  • Electronics
  • Engineering
  • Frequency
  • Illinois
  • Maintenance
  • Measurement
  • Monitoring
  • Power Converters
  • Power Electronics
  • Prototypes
  • Resonant Converters
  • Silicon Carbide
  • Switching
  • Systems Engineering
  • Transformers
  • United States
  • United States Naval Academy
  • Universities

Fields of Study

  • Engineering

Readers

  • Electrical Engineering
  • Fault Tolerant Diagnosis of Black and White Balloon Isolation Tests Using ¥.
  • Research Science/Academic Research

Technology Areas

  • Microelectronics