Precursor parameter identification for power supply prognostics and health management

  • Huiguo Zhang*
  • , Rui Kang
  • , Mingzhu Luo
  • , Michael Pecht
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Prognostics and health management (PHM) seeks to identify and isolate reliability problems in products (diagnostics) and predict a product's remaining useful life (prognostics). In this paper, a four-step PHM approach for power supplies is presented: 1) precursor parameter identification based on historical data analysis and failure mechanism analysis; 2) baseline establishment by conducting experiments under different environmental and usage conditions and characterizing precursor parameters for healthy power supplies; 3) baseline verification by conducting similar experiments for fielded power supplies; and 4) testing. Precursor parameter identification for one switch-mode power supply (SMPS) was carried out. The power metal-oxide semiconductor field-effect transistor, insulated-gate bipolar transistor, and the Schottky diode were identified as the majority cause by historical data analysis. Gate oxide leakage current, threshold voltage, transconductance, junction temperature, VCE (on), and contact resistance were determined to be monitored parameters for this SMPS after a failure mechanism analysis.

Original languageEnglish
Title of host publicationProceedings of 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009
Pages883-887
Number of pages5
DOIs
StatePublished - 2009
Event2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009 - Chengdu, China
Duration: 20 Jul 200924 Jul 2009

Publication series

NameProceedings of 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009

Conference

Conference2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009
Country/TerritoryChina
CityChengdu
Period20/07/0924/07/09

Keywords

  • Failure mechanism
  • Health Management
  • Power supply
  • Precursor
  • Prognostics

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