Semi Parametric Estimations of rotating and scaling parameters for aeronautic loads
Edouard Fournier (ENAC), St\'ephane Grihon, Thierry Klein (IMT)

TL;DR
This paper introduces a semi-parametric method for estimating rotation and scaling parameters in noisy curve registration, with proven statistical properties and demonstrated effectiveness through simulations and aeronautic data.
Contribution
It proposes a novel M-estimation approach for curve registration that ensures consistency and asymptotic normality, validated by simulations and real aeronautic data.
Findings
Estimates are consistent and asymptotically normal.
Method performs well on simulated data.
Effective application demonstrated on aeronautic loads data.
Abstract
In this paper, we perform registration of noisy curves. We provide an appropriate model in estimating the rotation and scaling parameters to adjust a set of curves through a M-estimation procedure. We prove the consistency and the asymptotic normality of our estimators. Numerical simulation and a real life aeronautic example are given to illustrate our methodology.
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Taxonomy
TopicsProbabilistic and Robust Engineering Design · Structural Health Monitoring Techniques · Statistical Methods and Inference
