Dr. Javier Rosero Garcia

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Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 April 2007 in IEEE Aerospace and Electronic Systems Magazine

Journal Article

Moving towards a more electric aircraft

Javier Rosero Garcia

J.A. Ortega

E. Aldabas

L. Romeral

The latest advances in electric and electronic aircraft technologies from the point of view of an "all-electric" aircraft are presented herein. Specifically, we describe the concept of a "more electric aircraft" (MEA), which involves removing the need for on-engine hydraulic power generation and bleed air off-takes, and the increasing use of power electronics in the starter/generation system of the main engine. Removal of the engine hydraulic pumps requires fully-operative electrical power actuators and mastery of the flight control architecture. The paper presents a general overview of the electrical power generation system and electric drives for the MEA, with special regard to the flight controls. Some discussion regarding the interconnection of nodes and safety of buses and protocols in distributed systems is also presented

31 January 2008 in IEEE Transactions on Industrial Electronics

Journal Article

Fault Detection in Induction Machines Using Power Spectral Density in Wavelet Decomposition

Luis Romeral

Juan A. Ortega

Javier Rosero Garcia

Jordi Cusidócusido

Antoni Garcia Espinosa

Motor-current-signature analysis has been successfully used in induction machines for fault diagnosis. The method, however, does not always achieve good results when the speed or the load torque is not constant, because this causes variations on the motor-slip and fast Fourier transform problems appear due to a nonstationary signal. This paper proposes a new method for motor fault detection, which analyzes the spectrogram based on a short-time Fourier transform and a further combination of wavelet and power-spectral-density (PSD) techniques, which consume a smaller amount of processing power. The proposed algorithms have been applied to detect broken rotor bars as well as shorted turns. Besides, a merit factor based on PSD is introduced as a novel approach for condition monitoring, and a further implementation of the algorithm is proposed. Theoretical development and experimental results are provided to support the research.

2 February 2010 in IEEE Transactions on Energy Conversion

Journal Article

Fault Detection by Means of Hilbert–Huang Transform of the Stator Current in a PMSM With Demagnetization

Antoni Garcia Espinosa

Javier Rosero Garcia

Jordi Cusido

Luis Romeral

Juan Antonio Ortega

This paper presents a novel method to diagnose demagnetization in permanent-magnet synchronous motor (PMSM). Simulations have been performed by 2-D finite-element analysis in order to determine the current spectrum and the magnetic flux distribution due to this failure. The diagnostic just based on motor current signature analysis can be confused by eccentricity failure because the harmonic content is the same. Moreover, it can only be applied under stationary conditions. In order to overcome these drawbacks, a novel method is used based upon the Hilbert-Huang transform. It represents time-dependent series in a 2-D time-frequency domain by extracting instantaneous frequency components through an empirical-mode decomposition process. This tool is applied by running the motor under nonstationary conditions of velocity. The experimental results show the reliability and feasibility of the methodology in order to diagnose the demagnetization of a PMSM.

19 June 2009 in IEEE Transactions on Magnetics

Journal Article

Detection of Demagnetization Faults in Permanent-Magnet Synchronous Motors Under Nonstationary Conditions

Jordi-Roger Riba

Javier Rosero Garcia

Antoni Garcia Espinosa

Luis Romeral

This paper presents the results of our study of the permanent-magnet synchronous motor (PMSM) running under demagnetization. We examined the effect of demagnetization on the current spectrum of PMSMs with the aim of developing an effective condition-monitoring scheme. Harmonics of the stator currents induced by the fault conditions are examined. Simulation by means of a two-dimensional finite-element analysis (FEA) software package and experimental results are presented to substantiate the successful application of the proposed method over a wide range of motor operation conditions. Methods based on continuous wavelet transform (CWT) and discrete wavelet transform (DWT) have been successfully applied to detect and to discriminate demagnetization faults in PMSM motors under nonstationary conditions. Additionally, a reduced set of easy-to-compute discriminating features for both CWT and DWT methods has been defined. We have shown the effectiveness of the proposed method by means of experimental results.

9 January 2009 in IEEE Transactions on Industrial Electronics

Journal Article

Short-Circuit Detection by Means of Empirical Mode Decomposition and Wigner–Ville Distribution for PMSM Running Under Dynamic Condition

Javier Rosero Garcia

Luis Romeral

Juan A. Ortega

Esteban Emilio Rosero-García

This paper presents and analyzes a method for short-circuit fault detection in a permanent-magnet synchronous motor (PMSM). The study includes steady-state condition and speed transients in motor operation. The stator current is decomposed by empirical mode decomposition (EMD), which generates a set of intrinsic mode functions (IMFs). Quadratic time-frequency (TF) distributions such as smoothed pseudo-Wigner-Ville and Zhao-Atlas-Marks are applied on the more significant IMFs for fault detection. Simulations and experimental laboratory tests validate the algorithms and demonstrate that this kind of TF analysis can be applied to detect and identify short-circuit failures in PMSM.

26 August 2008 in IEEE Aerospace and Electronic Systems Magazine

Journal Article

Reliable electro-mechanical actuators in aircraft

A. Garcia

J. Cusido

Javier Rosero Garcia

J.A. Ortega

L. Romeral

I. Cusido

There is a general trend in the aerospace industry toward increasing the use of electrically-powered equipment. This trend is usually referred to as "Power-by-Wire" in the "More Electric Aircraft" (MEA) concept and it leads, among others, to the substitution of hydraulic actuators by electro-mechanical actuators (EMA). Its benefits are a decrease in maintenance effort and weight, and an increase in efficiency. However, jamming case obstacles stop the massive use of EMAs in flight-control actuators. The aim herein is to introduce the safety needs of electro-mechanical actuators in aircraft applications, and Its major goal is to present the suitability and reliability of such actuator systems, including electric motors and power converters.

About Me

Dr. Javier Rosero-García was born in Potosi, Colombia, in 1978. He received his BSC in Electrical Engineering from the Universidad of Valle, Cali, Colombia, in 2002. He worked in the construction and maintenance of power systems and substations in Bogotá, Colombia, between 2002 and 2004. He received a PhD degree from the Technical University of Catalonia (UPC) in 2007, and a Master’s in Administration from the National University of Colombia in 2020. Dr Rosero became an IEEE Senior Member, and received the IEEE AESS Harry Rowe Mimno award for excellence in technical communications for 2007 from the Aerospace and Electronic Systems Society (AESS) IEEE 2007. He worked with Asea Brown Boveri (ABB), Barcelona, Spain, from 2007 to 2009, providing service and technical support for drives for industrial and windmill systems. He is currently a Full Professor at the Electrical and Electronic Engineering Department from Universidad Nacional de Colombia in Bogotá D.C. His research interests are focused on the areas of modelling, diagnosis, and control of electrical machines and drives, electric mobility and smart grids.ORCID: https://orcid.org/0000-0003-2690-4772Scopus: https://www.scopus.com/authid/detail.uri?authorId=21934781500

Dr. Javier Rosero Garcia

Dr. Javier Rosero Garcia

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