Evaluation and comparison of mixed effects model based prognosis for hard failure

Junbo Son, Qiang Zhou, Shiyu Zhou, Xiaofeng Mao, Mutasim Salman

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

Failure prognosis plays an important role in effective condition-based maintenance. In this paper, we evaluate and compare the hard failure prediction accuracy of three types of prognostic methods that are based on mixed effect models: the degradation-signal based prognostic model with deterministic threshold (DSPM), with random threshold (RDSPM), and the joint prognostic model (JPM). In this work, the failure prediction performance is measured by the mean squared prediction error, and the power of prediction. We have analyzed characteristics of the three methods, and provided insights to the comparison results through both analytical study and extensive simulation. In addition, a case study using real data has been conducted to illustrate the comparison results as well.

Original languageEnglish (US)
Article number6509984
Pages (from-to)379-394
Number of pages16
JournalIEEE Transactions on Reliability
Volume62
Issue number2
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Degradation signal
  • hard failure prognosis
  • mixed effects models
  • performance comparison

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Electrical and Electronic Engineering

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