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Papers by guy clerc

HAL (Le Centre pour la Communication Scientifique Directe), Oct 27, 2017

Preprints, Jul 26, 2021

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

2017 IEEE Conference on Electrical Insulation and Dielectric Phenomenon (CEIDP), 2017

In this contribution, an automatic classification technique is used to monitor oil-filled transfo... more In this contribution, an automatic classification technique is used to monitor oil-filled transformers condition from maintenance data. The data collected from two groups of transformers are reported into an observation space. This space summarizes the information contained in a feature vector. This vector is filled with oil's aging indicator parameters namely the dielectric strength, the interferential tension, acidity and power factor. The TDCG (Total Dissolved Combustible Gas) is included to monitor incipient failure in the transformer. Two unsupervised classification methods are used: the K-means and Fuzzy C-means. The clusters included transformers with similar behavior to ease analyses.

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2017

This paper presents an analysis of the different operating periods of an in-service oil immersed ... more This paper presents an analysis of the different operating periods of an in-service oil immersed power transformer through dissolved gas concentrations. The unsupervised classification by k-means method allows regrouping the periods of operation into classes using the Euclidean distance as a criterion of similarity. The analyzed data describes the evolution of gas concentrations as a function of time. The classes obtained are characterized by the production activities of the different gases, various operating constraints and the incipient failures. These periods also highlight the maintenance actions carried out on the insulating oil.

Understanding Complex Systems, 2019

Installation of micro-grid provides as viable solution to the problem of energy efficiency and en... more Installation of micro-grid provides as viable solution to the problem of energy efficiency and environmental in the world; this is especially true for countries in the Middle East which have an abundance of natural sunlight. Recently, DC micro-grids have been a focus of numerous researches, and some industrial deployments are starting (Shenai et al. IEEE Power Electron. Mag. 3:42–48, 2016). The interest is due to several advantages in comparison to AC micro-grids in terms of efficiency, minimum number of devices, no need for frequency/phase control, modularity, and reliability. Moreover, it enables an easy integration of renewable energy resources, particularly photovoltaic ones. This study targets meshed DC micro-grid while most of literature papers concern radial DC micro-grids. It will bring several remarkable benefits: redundancy, better utilization of installed converters, flexible configuration, enhanced system reliability, and availability especially in case of line faults (Chen et al. IEEE Trans. Power Deliv. 31:1719-1727, 2016). In meshed DC grids, the control strategy of current or power becomes a critical issue particularly if a modular and generic solution is researched. The study focuses on the use of smart nodes controlling the power flow in the grid. The proposed control strategy is modeled and the simulation results are presented. A reduce scale tests based on DSPACE DS1103 have been provided to validate experimentally the proposed control scheme.

A specific simulation tool has been developed in order to design 50Hz/60Hz 25 kV or 2x25 kV (auto... more A specific simulation tool has been developed in order to design 50Hz/60Hz 25 kV or 2x25 kV (autotransformers system) AC lines. Its architecture and principles are detailed. Mechanical, electrical and thermic computations are run separately, and some specific features were added to the tool for energy calculations. In the first part, sensitivity studies for AC railway electrical network simulation are presented. The considered parameters are the soil resistivity and the high voltage power network impedance. The effects of regenerative braking are also studied. The aim of this exercise is to determine the influence of these parameters on the output results of the electrical module. In the second part, the relation between electrification and mechanical calculations is studied in order to determine the influence of the electrification quality level on the trains operation. Delays are quantified, including the case when regenerative braking is taken into account. A progressive approach...

2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2019

The reliability and safety operation of an industrial system are the main objectives of industria... more The reliability and safety operation of an industrial system are the main objectives of industrial companies to remain competitive in a constantly growing market. Unexpected shutdowns can often lead to physical hazards as well as economic consequences in key sectors. Hence, fault prediction emerges as an important focus of the industry. Thus, this paper aims to detail the prognostic aspect and provides a state of the art of existing data-driven prognostic methods used in the literature. This paper shows the diversity of possible prognostic methods and the choice of one among them that will define a framework for industrials.

2017 IEEE International Electric Machines and Drives Conference (IEMDC), 2017

This paper deals with an overview of Silicon Carbide MOSFET-based power module failure modes and ... more This paper deals with an overview of Silicon Carbide MOSFET-based power module failure modes and an experimental health-monitoring approach to detect them. The power module reliability question has recently emerged according to the development of converters in industrial fields such as: aerospace, automotive, traction… Nowadays, converters have a key role in the power transmission line. Besides, the power requirement of these converters is ever increasing. This constraint has pushed researchers into new technologies increasing the power density in converters which are increasingly more compact and lightweight. In our application, we use silicon carbide chips due to their better performance compared to other technologies. The interconnections and the materials have been adapted to the higher temperature range of a SiC chip. Despite optimization, the silicon carbide MOSFET-based power modules still present weaknesses and failures in use. The aim of this paper is to understand and moreover to highlight the power module physics of failure to trigger the most common failure types, to find a way to follow them. Finally, it presents a relevant test plan and the test circuits associated to trigger and study these expected failures.

AIMS Electronics and Electrical Engineering, 2019

This paper proposes an automated fault isolation and diagnostic chain for the health monitoring o... more This paper proposes an automated fault isolation and diagnostic chain for the health monitoring of a linear actuator composed of a roller screw driven by a permanent magnet synchronous motor. Four health conditions are considered and diagnosed: the healthy condition, a short circuit in the stator windings, a mechanical backlash in the roller screw, and the combination of both faults. In order to separate the fault signatures, empirical mode decomposition is applied to the motor current, followed by independent component analysis, automatic isolation of the fault signatures, and a classification step for the diagnosis. The novelty proposed consists of an automatic processing of the independent components to isolate the effects of the short-circuit from the effects of the backlash. This isolation step, in contrast to earlier works, requires no human intervention to select signals of interest, making it suitable to real-time onboard diagnostics. Furthermore, results show that independent component analysis occupies an important role in the diagnosis: its omission leads to a reduction in the diagnostic performance of the classifier as well as a reduction in measures of class separability.

International Journal of Applied Electromagnetics and Mechanics, 1998

This paper describes a shape optimization of a synchronous machine rotor to reduce torque ripples... more This paper describes a shape optimization of a synchronous machine rotor to reduce torque ripples. The procedure of optimization is based on coupling a finite element 2D software and a genetic algorithm. One of the most important criteria for minimizing the torque ripple is the distribution of the flux density in the airgap of the machine. Therefore, in the first investigations, we search to minimize the harmonics' rate of the flux density. The field analysis is done through the finite element method. Simplifying assumptions, involving material characteristic and geometrical domains, are made in order to limit computational time. Different objective functions (taking into account flux density harmonics) used by the genetic algorithm for the optimization and different strategies of evolution are tested and some results are presented. One of these is used to calculate torque ripples by the finite element method. This result is compared with the initial torque and shows the improvement on the torque ripple.

IEEE Transactions on Industrial Electronics, 2016

Reliability and safety are two important concepts in industrial applications. Thus, the developme... more Reliability and safety are two important concepts in industrial applications. Thus, the development of monitoring tools, which are able to ensure the continuity of service by predicting faults, should improve competitiveness. This paper presents two probabilistic methods based on hidden Markov models for the prediction of impending faults. This paper shows that a prediction of faults is not limited to the estimation of the remaining useful life but is also extended to the estimation of the risk of an imminent appearance of faults in the future. The first method consists in modeling the degradation process of the studied system by a single hidden Markov model. A probabilistic model is proposed to predict an imminent appearance of a fault. The second method consists in modeling the degradation states by a set of hidden Markov models. Another probabilistic model is proposed to predict an imminent appearance of a fault. An experimental application is proposed to demonstrate their applicability. The obtained results show their effectiveness to predict the imminent appearance of faults.

This paper deals with the lifetime of supercapacitors used in transportation. Increasing onboard ... more This paper deals with the lifetime of supercapacitors used in transportation. Increasing onboard electrical devices require adapted storage elements like supercapacitors to supply all electrical systems. Reliability and lifetime are two major factors for electrical storage system. Based on accelerated ageing, some supercapacitors have been studied using a dedicated test bench. Temperature, voltage, current and power cycling are monitored since supercapacitor ageing are affected by these parameters. An ageing law suitable for a transport application is obtained and discussed.

... ICEM, Chania : Grèce (2006). Application of pattern recognition method to the diagnosis in in... more ... ICEM, Chania : Grèce (2006). Application of pattern recognition method to the diagnosis in induction machine. Olivier Ondel 1 , Emmanuel Boutleux 1, 2 , Guy Clerc ( Auteur correspondant. ) 1, 2. (09/2006). 1 : Centre de génie électrique de Lyon (CEGELY). ...

2018 IEEE International Conference on Industrial Technology (ICIT), 2018

In order to study the aging of batteries in automotive applications, it is important to understan... more In order to study the aging of batteries in automotive applications, it is important to understand how and under what conditions these batteries are operating in electric vehicles (EVs). However, because of the specificities of EVs, these uses may be very different from those known from internal combustion engine cars (ICE). In this paper, we present how, from real-life data, we determine the different driving modes of electric vehicles. The paper presents the different techniques adopted to analyze and classify the data and the different EV running modes, which are obtained.

The European Physical Journal Applied Physics, 1999

Electrical traction of vehicle needs accurate control of torque and flux. DC machines are mainly ... more Electrical traction of vehicle needs accurate control of torque and flux. DC machines are mainly used but they are expensive and need heavy maintenance. Since some years, the use of field oriented vector control induction machines allows to fulfill the same objectives with lower cost. Unfortunately, they may present a decrease of their performances and an instability when their parameters vary with the temperature or the magnetic state and in the presence of converter or measurement noises. Therefore it is necessary to design effective control laws, which are especially less sensitive to these perturbations and variations. In this work, we have undertaken the conception and the realization of a voltage vector flux control whose inputs have been uncoupled by compensating terms. The torque and the flux regulations are realized at two different levels: an internal regulation loop for stator currents, and an external one for flux and torque. In order to achieve robust stability and performance objectives, we have involved several new methods in the domain such as H∞ control designed by genetic algorithms and reduced order extended Kalman filtering in the synchronous frame. Simulations will show the method efficiency and experimental results validate the control strategy.

L’objectif du projet est le developpement d’un nouveau type de systeme de generation d’electricit... more L’objectif du projet est le developpement d’un nouveau type de systeme de generation d’electricite par recuperation de l’energie de la houle, grâce au mouvement relatif d’un flotteur guide entrainant une generatrice : « Le Bilboquet ». Le projet porte sur la realisation d’un demonstrateur de 120kW, adapte a des houles courtes, et sur un programme d’essais en mer et sur terre. A terme, l’ambition affichee du projet est de pouvoir fabriquer des unites de 2MW de puissance moyenne pour des utilisations a proximite des cotes ou sur les iles. Ce rapport contient l'ensemble des elements relatifs a la contribution du Laboratoire AMPERE dans le cadre du Projet BILBOQUET. Il comprend notamment les travaux realises sur le dimensionnement, la modelisation et la commande de la chaine de conversion electromecanique. Le contenu de ce rapport est confidentiel.

— This paper deals with some problems related to the use of fractional slot winding configuration... more — This paper deals with some problems related to the use of fractional slot winding configurations in recent PM motors designs. The main idea is to take into account specific characteristics such as parasitic air-gaps which are leading to unexpected behaviors. Depending on the situation this behaviors can be mistaken electrical or mechanical faults. The aim is to develop improved models of compact actuators avoiding false alarm issues in diagnosis methods.

This study presents a survey of the diagnosis methods detecting the stator faults of the inductio... more This study presents a survey of the diagnosis methods detecting the stator faults of the induction machines without modelling. The fault signature is based on the analysis of the negative sequence symmetrical component of the current. The present investigation carries out a comparative study of two different approaches. The first one results from the Discrete Fourier Transforms (DFT) and the Short Discrete Fourier Transforms (SDFT) while the second is based on numerical synchronous demodulation of the stator current vector. The induction machine is connected to a voltage source rich in harmonics (inverter or disturbed network). The suggested techniques are applied to the computing of the symmetrical component of negative sequence induced by a short circuit in a stator phase of an induction motor of 1.1 kW.