An SHM Data-Driven Methodology for the Remaining Useful Life Prognosis of Aeronautical Subcomponents

An SHM Data-Driven Methodology for the Remaining Useful Life Prognosis of Aeronautical Subcomponents

Galanopoulos, Georgios (University of Patras)
Eleftheroglou, N. (TU Delft Structural Integrity & Composites; University of Patras)
Milanoski, Dimitrios (University of Patras)
Broer, Agnes A.R. (TU Delft Structural Integrity & Composites)
Zarouchas, D. (TU Delft Structural Integrity & Composites)
Loutas, Theodoros (University of Patras)

Rizzo, Piervincenzo (editor)
Milazzo, Alberto (editor)

2023

Prognosis of the Remaining Useful Life (RUL) of a structure from Structural Health Monitoring data is the ultimate level in the SHM hierarchy. Reliable prognostics are key to a Condition Based Maintenance paradigm for aerospace systems and structures. In the present work, we propose a methodology for RUL prognosis of generic aeronautical elements i.e. single stringered composite panels subjected to compression/compression fatigue. Strain measurements are utilized in this direction via FBG sensors bonded to the stiffener feet. The strain data collected during the fatigue life are processed and used for the RUL prognosis. In order to accomplish this task, it is essential to produce Health Indicators (HIs) out of raw strain that can properly capture the degradation process. To create such HIs a new pre/post-processing technique is employed and a variety of different HIs are developed. The quality of the HIs can enhance the performance of the prognostic algorithms, hence a fusion methodology is proposed using genetic algorithms. The resulted fused HI is used for the RUL estimation of the SSCPs. Gaussian processes and Hidden Semi Markov Models are employed for RUL prognosis and their performance is compared. Despite the complexity the raw data we demonstrate the feasibility of successful RUL prognostics in a SHM-data driven approach.

Composite panels
Fibber Bragg Gratings
Health Indicators
RUL prognosis
Structural Health Monitoring

http://resolver.tudelft.nl/uuid:24c6badf-c5c3-4ad6-934c-1c524c0c8695

https://doi.org/10.1007/978-3-031-07254-3_24

Springer

2023-07-01

9783031072536

European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1

10th European Workshop on Structural Health Monitoring, EWSHM 2022, 2022-07-04 → 2022-07-07, Palermo, Italy

Lecture Notes in Civil Engineering, 2366-2557, 253 LNCE

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2023 Georgios Galanopoulos, N. Eleftheroglou, Dimitrios Milanoski, Agnes A.R. Broer, D. Zarouchas, Theodoros Loutas