Description

Because metallic aircraft components are subject to a variety of in-service loading conditions, predicting their fatigue life has become a critical challenge. To address the failure mode mitigation of aircraft

Because metallic aircraft components are subject to a variety of in-service loading conditions, predicting their fatigue life has become a critical challenge. To address the failure mode mitigation of aircraft components and at the same time reduce the life-cycle costs of aerospace systems, a reliable prognostics framework is essential. In this paper, a hybrid prognosis model that accurately predicts the crack growth regime and the residual-useful-life estimate of aluminum components is developed. The methodology integrates physics-based modeling with a data-driven approach.

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Date Created
  • 2014-04-01
Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.2514/1.I010094
    • Identifier Type
      International standard serial number
      Identifier Value
      2327-3097
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    Neerukatti, Rajesh Kumar, Liu, Kuang C., Kovvali, Narayan, & Chattopadhyay, Aditi (2014). Fatigue Life Prediction Using Hybrid Prognosis for Structural Health Monitoring. JOURNAL OF AEROSPACE INFORMATION SYSTEMS, 11(4), 211-231. http://dx.doi.org/10.2514/1.I010094

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