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Embedded Fault Diagnosis and Prognosis

  • Julio Cesar Viola
  • , Jose Restrepo
  • , Ronald Harley

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The increasing use of power electronics in industry applications, energy conversion, electric vehicles (EVs), aircrafts, vessels, etc. propels efforts at early detection of potential abnormalities, which can degrade system performance, in order to reduce profit losses and even risk to human lives. In the onset of the power electronics digital control era, microprocessors were used exclusively for control tasks, mainly due to the lack in computing power needed by diagnosis algorithms. Nowadays, powerful low-cost microprocessors have become standard options for the design engineer, and embedded routines that perform real-time fault diagnosis are easily added to the design. This chapter gathers the most relevant embedded techniques for real-time condition monitoring (CM) and fault diagnosis in power drives based systems that have been reported recent years, with special emphasis on those methods using electric variables (i. e., voltage and current) as health indicators of the involved devices.
Translated title of the contributionDiagnóstico y pronóstico de fallas integrado
Original languageEnglish (US)
Title of host publicationFault Diagnosis for Robust Inverter Power Drives
PublisherInstitution of Engineering and Technology, IET
Pages1-15
Number of pages15
ISBN (Print)9781785614118
StatePublished - 31 Dec 2018

Bibliographical note

Publisher Copyright:
© The Institution of Engineering and Technology 2019.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

CACES Knowledge Areas

  • 317A Electricity and Energy

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