Camilo Reyes

Camilo Reyes
The Commonwealth Scientific and Industrial Research Organisation | CSIRO · Minning and Prognosis

Professor

About

16
Publications
1,001
Reads
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50
Citations
Additional affiliations
October 2017 - present
CSIRO
Position
  • Principal Investigator
Description
  • Fault Diagnosis and Prognosis using condition-based maintenance through Bayesian methods
January 2013 - July 2015
Universidad Andrés Bello
Position
  • Principal Investigator
Description
  • Investigation on Fault Diagnosis and Failure Prognosis, Physics Engineer career planning
January 2013 - January 2017
Universidad Andrés Bello
Position
  • Academic
Description
  • Innovative courses in Automatic Control, Images and Physics Modelling

Publications

Publications (16)
Article
Full-text available
In this article, an efficient mathematical procedure is proposed for estimating a multivariate probability density function (mpdf). The method is based on statistical moments but does not require all samples. This is achieved by relating the probability distribution with these statistical moments. The novelty of the method is the calculation of coe...
Chapter
A novel numerical method, based on a machine learning approach, is used to solve an inverse problem involving the Dirichlet eigenfrequencies for the elasticity operator in a bounded domain filled with a composite material. The inhomogeneity of the material under study is characterized by a vector which is designed to control the constituent mixture...
Conference Paper
Full-text available
Battery energy systems are becoming increasingly popular in a variety of systems, such as electric vehicles. Accurate estimation of the total discharge of a battery is a key element for energy management. Problems such as path planning for drones or road choices in electric vehicles would benefit greatly knowing beforehand the end of discharge time...
Article
Full-text available
We study perturbative unitarity in the scalar sector of the Myers and Pospelov model. The model introduces a preferred four vector $n$ which breaks Lorentz symmetry and couples to a five-dimension operator. When the preferred four vector is chosen in the pure timelike direction the model becomes a higher time derivative theory leading to a cubic di...
Article
A numerical method, based on the design of two artificial neural networks, is presented in order to approximate the viscosity and density features of fluids from the eigenvalues of the Stokes operator. The finite element method is used to solve the direct problem by training a first artificial neural network. A nonlinear map of eigenvalues of the S...
Article
A numerical method based on an artificial neural networks is used to solve the inverse Schrödinger equation for a multi-parameter class of potentials. First, the finite element method was used to solve repeatedly the direct problem for different parametrizations of the chosen potential function. Then, using the attainaible eigenvalues as a training...
Article
An innovative numerical method based on an artificial neural network is presented in order to solve an inverse problem associated with the calculation of the Dirichlet eigenvalues of the anisotropic Laplace operator. Using a set of predefined eigenvalues obtained by solving repeatedly the direct problem, a radial basis neural network is designed wi...
Article
A new numerical method is presented with the purpose to calculate the Lamé coefficients, associated with an elastic material, through eigenvalues of the elasticity operator. The finite element method is used to solve repeatedly, using different Lamé coefficients values, the direct problem by training a direct radial basis neural network. A map of e...
Article
Full-text available
We study the possible effects of large Lorentz violations that can appear in the effective models in which the Lorentz symmetry breakdown is performed with higher-order operators. For this we consider the Myers and Pospelov extension of QED with dimension-five operators in the photon sector and standard fermions. We focus on the fermion self-energy...
Article
Full-text available
The stability of higher-order time derivative theories using the polymer extension of quantum mechanics is studied. First, we focus on the well-known Pais-Uhlenbeck model and by casting the theory into the sum of two decoupled harmonic oscillators we show that the energy spectrum is composed with positive and negative energy parts. The Schrodinger...
Article
Full-text available
We study radiative corrections in the modified QED with Myers and Pospelov dimension-five operators in the photon sector and standard fermions. We explicitly compute the radiatively induced axial operator from the fermion self energy and we found unsuppressed effects of Lorentz-invariance violation. The calculation is performed using dimensional re...
Article
Full-text available
Two classification methods, a feed-forward neural network and a fuzzy logic algorithm, were used for the automatic identification of CT images for selected wood features in sugar maple, one of the most important hardwoods in eastern Canada. Three wood characteristics were selected for automatic identification together with the background as a defau...
Article
Full-text available
An efficient numerical method based on a rigorous integral formulation is used to calculate precisely the acoustic eigenvalues of complex shaped objects and their associated eigenvectors. These eigenvalues are obtained and later used in acoustic nondestructive evaluation. This study uses the eigenvalues to implement a simple acoustic shape differ-e...

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Projects

Project (1)