Online recursive estimation of remaining life using ultrasonic measurements

Dheeraj S. Singh, Shalabh Gupta, Asok Ray

Research output: Contribution to journalArticle

3 Citations (Scopus)

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

Fingerprint

Ultrasonic measurement
Ultrasonics
Fatigue
Ultrasonic sensors
Stochastic models
Time measurement
Fatigue crack propagation
Machinery
Aluminum alloys
Love
Fatigue of materials
Cracks
Aluminum
Decomposition
Fatigue cracks

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Mechanical Engineering

Cite this

Singh, Dheeraj S. ; Gupta, Shalabh ; Ray, Asok. / Online recursive estimation of remaining life using ultrasonic measurements. In: Structural Health Monitoring. 2012 ; Vol. 11, No. 4. pp. 413-421.
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Online recursive estimation of remaining life using ultrasonic measurements. / Singh, Dheeraj S.; Gupta, Shalabh; Ray, Asok.

In: Structural Health Monitoring, Vol. 11, No. 4, 01.07.2012, p. 413-421.

Research output: Contribution to journalArticle

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