Integrated fatigue damage diagnosis and prognosis under uncertainties

Tishun Peng, Jingjing He, Yongming Liu, Abhinav Saxena, Jose Celaya, Kai Goebel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012
PublisherPrognostics and Health Management Society
Pages377-387
Number of pages11
ISBN (Print)9781936263059
StatePublished - 2012
Externally publishedYes
Event2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012 - Minneapolis, United States
Duration: Sep 23 2012Sep 27 2012

Other

Other2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012
CountryUnited States
CityMinneapolis
Period9/23/129/27/12

Fingerprint

Fatigue damage
Uncertainty
Fatigue
Fuselages
Joints
Cracks
Rivets
Bayes Theorem
Fatigue testing
Damage detection
Fatigue crack propagation
Surface waves
Probability distributions
Sensor networks
Crack propagation
Signal processing
Fusion reactions
Growth

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications

Cite this

Peng, T., He, J., Liu, Y., Saxena, A., Celaya, J., & Goebel, K. (2012). Integrated fatigue damage diagnosis and prognosis under uncertainties. In Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012 (pp. 377-387). Prognostics and Health Management Society.

Integrated fatigue damage diagnosis and prognosis under uncertainties. / Peng, Tishun; He, Jingjing; Liu, Yongming; Saxena, Abhinav; Celaya, Jose; Goebel, Kai.

Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012. Prognostics and Health Management Society, 2012. p. 377-387.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Peng, T, He, J, Liu, Y, Saxena, A, Celaya, J & Goebel, K 2012, Integrated fatigue damage diagnosis and prognosis under uncertainties. in Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012. Prognostics and Health Management Society, pp. 377-387, 2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012, Minneapolis, United States, 9/23/12.
Peng T, He J, Liu Y, Saxena A, Celaya J, Goebel K. Integrated fatigue damage diagnosis and prognosis under uncertainties. In Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012. Prognostics and Health Management Society. 2012. p. 377-387
Peng, Tishun ; He, Jingjing ; Liu, Yongming ; Saxena, Abhinav ; Celaya, Jose ; Goebel, Kai. / Integrated fatigue damage diagnosis and prognosis under uncertainties. Proceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012. Prognostics and Health Management Society, 2012. pp. 377-387
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