TY - GEN
T1 - Integrated fatigue damage diagnosis and prognosis under uncertainties
AU - Peng, Tishun
AU - He, Jingjing
AU - Liu, Yongming
AU - Saxena, Abhinav
AU - Celaya, Jose
AU - Goebel, Kai
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:84920511821
T3 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012
SP - 377
EP - 387
BT - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012
A2 - Roychoudhury, Indranil
A2 - Celaya, Jose R.
A2 - Saxena, Abhinav
PB - Prognostics and Health Management Society
T2 - 2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012
Y2 - 23 September 2012 through 27 September 2012
ER -