Correia C.M.,Aix - Marseille University |
Massioni P.,CNRS Ampere Laboratory
Optics InfoBase Conference Papers | Year: 2016
Our goal is the provide a tour of recent progress towards rendering Kalman filters suitable for driving astronomical adaptive optics with increasing numbers of degrees of freedom and discuss the prospects to port them to the foreseen real-time architectures. © OSA 2016.
Gilles L.,Thirty Meter Telescope Observatory Corporation |
Massioni P.,CNRS Ampere Laboratory |
Kulcsar C.,University Paris - Sud |
Raynaud H.-F.,University Paris - Sud |
Ellerbroek B.,Thirty Meter Telescope Observatory Corporation
Journal of the Optical Society of America A: Optics and Image Science, and Vision | Year: 2013
This paper discusses the performance and cost of two computationally efficient Fourier-based tomographic wavefront reconstruction algorithms for wide-field laser guide star (LGS) adaptive optics (AO). The first algorithm is the iterative Fourier domain preconditioned conjugate gradient (FDPCG) algorithm developed by Yang et al. [Appl. Opt. 45, 5281 (2006)], combined with pseudo-open-loop control (POLC). FDPCG's computational cost is proportional to N log(N), where N denotes the dimensionality of the tomography problem. The second algorithm is the distributed Kalman filter (DKF) developed by Massioni et al. [J. Opt. Soc. Am. A 28, 2298 (2011)], which is a noniterative spatially invariant controller. When implemented in the Fourier domain, DKF's cost is also proportional to N log(N). Both algorithms are capable of estimating spatial frequency components of the residual phase beyond the wavefront sensor (WFS) cutoff frequency thanks to regularization, thereby reducing WFS spatial aliasing at the expense of more computations. We present performance and cost analyses for the LGS multiconjugate AO system under design for the Thirty Meter Telescope, as well as DKF's sensitivity to uncertainties in wind profile prior information. We found that, provided the wind profile is known to better than 10% wind speed accuracy and 20 deg wind direction accuracy, DKF, despite its spatial invariance assumptions, delivers a significantly reduced wavefront error compared to the static FDPCG minimum variance estimator combined with POLC. Due to its nonsequential nature and high degree of parallelism, DKF is particularly well suited for real-time implementation on inexpensive off-the-shelf graphics processing units. © 2013 Optical Society of America.
Dang V.-H.,CNRS Ampere Laboratory |
Beroual A.,CNRS Ampere Laboratory |
IEEE Transactions on Dielectrics and Electrical Insulation | Year: 2012
This paper presents the experimental results of a comparative study of mineral, synthetic and natural ester oils issued from different origins through the analyze of the initiation threshold voltage of streamers, their pattern and their stopping length (final length) L f as well as the associated current and electrical charge, in a point ¿ plane electrodes arrangement submitted to a standard lightning impulse voltage (1.2/50 μs). It¿s shown that the streamers are filamentary in the different tested oils whatever the polarity of voltage. The stopping lengths L f are longer and the conductivity higher when the point is positive than when it¿s negative. L f is generally longer in ester oils (natural and synthetic) than in some mineral oils. When the point is negative, L f can be ten times higher in ester oils than in mineral ones. Different modes of propagation of streamers are also observed; the transition between these modes of propagation depends on the experimental conditions and the molecular structure of liquid. This transition is well pronounced with some mineral oils when the point is negative. © 1994-2012 IEEE.
Soualhi A.,University Claude Bernard Lyon 1 |
Soualhi A.,CNRS Ampere Laboratory |
Razik H.,University Claude Bernard Lyon 1 |
Razik H.,CNRS Ampere Laboratory |
And 3 more authors.
IEEE Transactions on Industrial Electronics | Year: 2014
Prognostics and health management (PHM) play a key role in increasing the reliability and safety of systems especially in key sectors (military, aeronautical, aerospace, nuclear, etc.). This paper presents a new methodology which combines data-driven and experience-based approaches for the PHM of roller bearings. The proposed methodology uses time domain features extracted from vibration signals as health indicators. The degradation states in bearings are detected by an unsupervised classification technique called artificial ant clustering. The imminence of the next degradation state in bearings is given by hidden Markov models, and the estimation of the remaining time before the next degradation state is given by the multistep time series prediction and the adaptive neuro-fuzzy inference system. A set of experimental data collected from bearing failures is used to validate the proposed methodology. Experimental results show that the use of data-driven and experience-based approaches is a suitable strategy to improve the PHM of roller bearings. © 1982-2012 IEEE.
Imano A.M.,University of Douala |
Beroual A.,CNRS Ampere Laboratory
IEEE Transactions on Dielectrics and Electrical Insulation | Year: 2010
This paper presents the results of a study carried out on the deformation of a water surface and the effect water drops have on both conducting and dielectric solid surfaces subjected to a 50-Hz-volage stress. Also, contained in it are fundamental observations of current discharges characterizing water drops and metal electrode configurations as well as those configurations resulting from a flat water surface and a metal electrode. The measurements taken with both rod and point electrodes also came under investigation. The inception field strength of partial discharges between water surface and metal electrodes is analyzed. The discharge activities between water drops and between a conducting water drop and a small rod electrode on a flat hydrophobic insulator are also investigated. The results obtained characteristics of show typical discharge current during the discharge inception and development with and without water filaments, with regard to drop-drop and drop-rod configurations on the dielectric solid surface. This experimental study provides a better understanding of the processes leading up to flashover of hydrophobic insulators through discharges between water drops resulting of the distortion of these drops. © 2010 IEEE.
Feki N.,CNRS Contacts and Structural Mechanics Laboratory |
Clerc G.,CNRS Ampere Laboratory |
Velex Ph.,CNRS Contacts and Structural Mechanics Laboratory
Mechanical Systems and Signal Processing | Year: 2012
Fault diagnosis in geared transmissions is traditionally based on vibration monitoring but, in a number of cases, sensor implementation and signal transfer from rotary to stationary parts can cause problems. This paper presents an original integrated electro-mechanical model aimed at testing the possibility and the interest of tooth fault detection based on electric measurements on the motor stator. The motor is simulated using Kron's transformation while the mechanical transmission is accounted for by a lumped parameter model. Tooth defects are assimilated to distributions of initial separations between the mating flanks whose positions and shapes are controlled. A unique non-linear parametrically excited differential system is obtained, which provides direct access to both the electrical and mechanical variables. A number of results are presented, which illustrate the possibility of tooth fault detection by stator current measurements with regard to the position and dimensions of the defect. © 2011 Elsevier Ltd. All rights reserved.
Feki N.,INSA Lyon |
Clerc G.,CNRS Ampere Laboratory |
Velex Ph.,INSA Lyon
Electric Power Systems Research | Year: 2013
This paper deals with the simulation of the dynamic behavior of induction motor/gear systems. The corresponding model combines: (i) a permeance network aimed at representing squirrel-cage induction motors and (ii) a 3D dynamic model of spur and helical gears including the shafts and bearings. Some classic motor defects (rotor eccentricity) and gear faults (tooth spalls) are considered and an iterative solution technique is presented which makes it possible to solve the coupled electro-mechanical problem. Based on a number of simulations, it is shown that the frequencies associated with defects can be identified and that distant detection and monitoring of tooth faults using stator currents seem promising alternatives to the classic techniques based on mechanical vibration analysis. © 2012 Elsevier B.V. All rights reserved.
Okubo H.,Nagoya University |
Beroual A.,CNRS Ampere Laboratory
IEEE Electrical Insulation Magazine | Year: 2011
The recent technical trend of sulfur hexafluoride (SF6) substitutes and future perspectives in the development of electrical insulation techniques for electric power equipment are reviewed and discussed. © 2006 IEEE.
Beroual A.,CNRS Ampere Laboratory
IEEE Transactions on Dielectrics and Electrical Insulation | Year: 2015
This paper deals with the parameters influencing the dynamics of water droplets immersed in dielectric liquids when submitted to a uniform electric field stress. We mainly investigate the influence of the sizes and number of water droplets as well as their position with respect to the electrodes and to each other on their deformation (shape - elongation), their break-up and/or breakdown of oil gap. The experimental observations are discussed using electrohydrodynamic approach. It is shown that the deformation can be symmetric or asymmetric depending on the geometrical parameters (electrodes gap, the positions, sizes and number of water droplets within this gap), the applied electric field and its application time as well as the surface charge density. The conditions required to bridge oil gap and then breakdown are also analysed. It is also shown that even if the sizes of water droplets are insufficient to bridge the gap when elongated, local vaporization and discharges can be initiated at their poles (ends) resulting in mixed bridge consisting of water and vapour phase (water vapour and/or liquid vapour) leading then to breakdown. © 1994-2012 IEEE.
Catalina T.,Technical University of Civil Engineering Bucharest |
Virgone J.,Lyon Center of Thermal Science |
Blanco E.,CNRS Ampere Laboratory
Renewable Energy | Year: 2011
In this article, an original multi-criteria approach is applied to multi-source systems used for the design and the choice of the optimal alternative. The high number of alternatives and potential solutions when dealing with multi-source systems require a decision support method to be implemented and easy to use. Information data on the economic variables, energy performance and impact on the environment of the systems are presently data which analysis and quantification is difficult. To deal with this high level of complexity and uncertainty, an evaluation approach is needed. The multi-criteria decision support methodology concept is described (ELECTRE III) and then applied for a case study. The decision support algorithm has its bases on the developed models and makes the outranking of possible solutions. It is also shown that multi-criteria analysis can provide a technical-scientific decision-making support that is capable to justify the clearly rank of the alternatives in the renewable energy sector. The use of multi-criteria decision aid for assessing the multi-source systems showed encouraging results and interesting insights. © 2011 Elsevier Ltd.