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Influence and model of SNR and prediction time for the credibility of fault prediction

  • Beihang University

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

Abstract

One of the difficult and key problems which must be solved for fault prediction is to measure the credibility of fault prediction results. This paper uses Monte Carlo method to build SNR and prediction time model for the credibility of fault prediction. First, using satellite attitude control system as an example, fault prediction is achieved successfully. Then the curve between SNR, prediction time and credibility estimation indicators is got by Monte Carlo method. By the method of curve fitting, model of credibility estimation indicators is built. The results show that in a certain range of accuracy, the model is appropriate. The technique provides one way to measure the credibility of fault prediction.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013
PublisherIEEE Computer Society
Pages628-633
Number of pages6
ISBN (Print)9780769551227
DOIs
StatePublished - 2013
Event3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013 - Shenyang, Liaoning, China
Duration: 21 Sep 201323 Sep 2013

Publication series

NameProceedings - 3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013

Conference

Conference3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013
Country/TerritoryChina
CityShenyang, Liaoning
Period21/09/1323/09/13

Keywords

  • credibility
  • fault prediction
  • prediction time
  • SNR

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