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Integrated fatigue damage diagnosis and prognosis under uncertainties

  • Tishun Peng
  • , Jingjing He
  • , Yongming Liu
  • , Abhinav Saxena
  • , Jose Celaya
  • , Kai Goebel
  • Clarkson University
  • NASA Ames Research Center

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

An integrated fatigue damage diagnosis and prognosis framework is proposed in this paper. The proposed methodology integrates a Lamb wave-based damage detection technique and a Bayesian updating method for remaining useful life (RUL) prediction. First, a piezoelectric sensor network is used to detect the fatigue crack size near the rivet holes in fuselage lap joints. Advanced signal processing and feature fusion is then used to quantitatively estimate the crack size. Following this, a small time scale model is introduced and used as the mechanism model to predict the crack propagation for a given future loading and an estimate of initial crack length. Next, a Bayesian updating algorithm is implemented incorporating the damage diagnostic result for the fatigue crack growth prediction. Probability distributions of model parameters and final RUL are updated considering various uncertainties in the damage prognosis process. Finally, the proposed methodology is demonstrated using data from fatigue testing of realistic fuselage lap joints and the model predictions are validated using prognostics metrics.

源语言英语
主期刊名Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012
编辑Indranil Roychoudhury, Jose R. Celaya, Abhinav Saxena
出版商Prognostics and Health Management Society
377-387
页数11
ISBN(电子版)9781936263059
出版状态已出版 - 2012
已对外发布
活动2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012 - Minneapolis, 美国
期限: 23 9月 201227 9月 2012

出版系列

姓名Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012

会议

会议2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012
国家/地区美国
Minneapolis
时期23/09/1227/09/12

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