Harmonic decomposition to estimate periodic signals using machine learning algorithms: Application to helicopter loads
C Del cistia Gallimard, F Beroul… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
In the helicopter industry, estimating the flight loads acting on mechanical components is a
prerequisite for fatigue computation, and maintenance work. Currently, the flight loads …
prerequisite for fatigue computation, and maintenance work. Currently, the flight loads …
Improving load signal and fatigue life estimation for helicopter components using computational intelligence techniques
C Cheung, JJ Valdés, J Puthuparampil - Recent Advances in …, 2016 - Springer
The accurate estimation of helicopter component loads is an important factor in life cycle
management and life extension efforts. This chapter explores continued efforts to utilize a …
management and life extension efforts. This chapter explores continued efforts to utilize a …
Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach
JJ Valdés, AB Tchagang - … Networks and Machine Learning–ICANN 2019 …, 2019 - Springer
The availability of BIG molecular databases derived from quantum mechanics computations
represent an opportunity for computational intelligence practitioners to develop new tools …
represent an opportunity for computational intelligence practitioners to develop new tools …
An Extension of the Gamma Test Statistics to Binary Variables and Some Applications
A Maria Selvitella, JJ Valdés - International Journal of Pattern …, 2021 - World Scientific
In this paper, we discuss the problem of estimating the minimum error reachable by a
regression model given a dataset, prior to learning. More specifically, we extend the Gamma …
regression model given a dataset, prior to learning. More specifically, we extend the Gamma …
Single channel continuous wave doppler radar for differentiating types of human activity
In real life applications, it is crucial to monitor the different kinds of human activity without
interfering with their regular occupations. Contactless physiological monitoring using radars …
interfering with their regular occupations. Contactless physiological monitoring using radars …