Online recursive estimation of remaining life using ultrasonic measurements

Dheeraj S. Singh, Shalabh Gupta, Asok Ray

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This article addresses diagnosis and prognosis of evolving fatigue crack damage in polycrystalline alloy structures. It presents a statistically inspired recursive method for in situ estimation of the remaining useful life in machinery components, based on real-time measurements. The underlying algorithm is built upon (a) symbolic dynamic filtering of (online) ultrasonic sensor data and (b) Karhunen-Loève decomposition of optical measurements for (off-line) construction of a stochastic model of fatigue crack propagation. The proposed method has been experimentally validated on a computer-instrumented and computer-controlled fatigue test apparatus for estimation of crack damage and prediction of the remaining useful life in test specimens, made of 7075-T6 aluminum alloys.

Original languageEnglish (US)
Pages (from-to)413-421
Number of pages9
JournalStructural Health Monitoring
Volume11
Issue number4
DOIs
StatePublished - Jul 1 2012

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Mechanical Engineering

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