ELECTRIC MACHINES & ENERGY EFFICIENCY

DETECTION OF FAILURES IN ELECTRIC MACHINES (with Jose A. Antonino from Instituto Tecnológico de la Energía – UPV)

1. M.E. Iglesias-Martinez, P. Fdez. de Córdoba, J.A. Antonino-Daviu, and J.A. Conejero. Detection of bar breakages in induction motor via spectral substraction of stray flux signals, XXIII^rd International Conference on Electrical Machines (ICEM’2018)p. 1796-1802, (2018). doi:10.1109/ICELMACH.2018.8507078
2. M.E. Iglesias-Martinez, P. Fdez. de Córdoba, J.A. Antonino-Daviu, and J.A. Conejero. Rotor fault detection in induction motors based on time-frequency analysis using the bispectrum and the autocovariance of stray flux signals. Energies, 29, 597, (2019). doi:10.3390/en12040597
3. M.E. Iglesias-Martinez, P. Fdez. de Córdoba, J.A. Antonino-Daviu, and J.A. Conejero. Detection of nonadjacent rotor faults in induction motors via spectral subtraction and autocorrelation of stray flux signals. IEEE Trans. Ind. Appl. 55:5, 4585-4594, (2019). doi:10.1109/TIA.2019.2917861
4. M.E. Iglesias-Martinez, P. Fdez. de Córdoba, J.A. Antonino-Daviu, and J.A. Conejero. High-order spectral analysis of stray flux signals for faults detection in induction motors. Applied Mathematics Nonlinear Sciences 5:2, 1-14, (2020). doi:10.2478/amns.2020.1.00032
5. M.E. Iglesias-Martinez, P. Fdez. de Córdoba, J.A. Antonino-Daviu, and J.A. Conejero. Detection of adjacent and non-adjacent bar breakages in induction motors via convolutional analysis of sound signals. Appl. Sci. 10:19, 6641 (2020). doi:10.3390/app10196641
6. M.E. Iglesias-Martinez, P. Fdez. de Córdoba, J.A. Antonino-Daviu, and J.A. Conejero. Bispectrum analysis of stray flux signals for the robust detection of winding asymmetries in wound rotor induction motors. 2020 IEEE Energy Conversion Congress and Exposition (ECCE), Detroit, MI, USA, 2020, pp. 4485-4490, doi: 10.1109/ECCE44975.2020.9235360.
7. M.E. Iglesias-Martinez, J.A. Antonino-Daviu, C.A. Platero, L. Dunai, J.A. Conejero, and P. Fdez. de Córdoba. Bispectrum and kurtosis analysis of rotor currents for the detection of field winding faults in synchronous motors. 22nd IEEE International Conference on Industrial Technology (ICIT), València, Spain, 2021, pp. 154-159. doi:10.1109/ICIT46573.2021.9453682
8. M.E. Iglesias-Martínez, J.A. Antonino-Daviu, C. Platero, L. Dunai, J.A. Conejero, and P. F. de Cordoba. Multifractal spectrum and higher-order statistics for the detection of field winding faults in wound field synchronous motors. 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), Palma de Mallorca, Spain, 2021, pp. 1-7, doi:10.1109/INDIN45523.2021.9557485.
9. M. E. Iglesias Martínez, J. A. Antonino-Daviu, C. Platero, L. Dunai, J.A. Conejero, and P. Fernandez De Cordoba. Envelope spectral kurtosis and SVD analysis of stray flux signals for the diagnosis of field winding faults in synchronous motors, 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), 2021, pp. 1-7, doi:10.1109/ISIE45552.2021.9576426.
10. M.E. Iglesias-Martinez, J.A. Antonino-Daviu, P. Fdez. de Córdoba, J. Alberto Conejero, and L. Dunai. Automatic classification of winding asymmetries in wound rotor induction motors based on bicoherence and fuzzy C-means algorithms of stray flux signals. IEEE Trans. Ind. Appl. 57:6, 5876-5886 (2021). doi:10.1109/TIA.2021.3108413
11. J. G. Carmenate, M.E. Iglesias-Martínez, J.A. Antonino-Daviu, C. Platero, P. Fdez. de Córdoba, J. Alberto Conejero, and L. Dunai, Bicoherence and skewness-kurtosis analysis for the detection of field winding faults in synchronous motors using stray flux signals, 2022 IEEE Energy Conversion Congress and Exposition (ECCE), 2022, pp. 1-5, doi: 10.1109/ECCE50734.2022.9947368.
12. M. E. Iglesias-Martínez et al. Automatic classification of field winding faults in synchronous motors based on bicoherence image segmentation and higher order statistics of stray flux signals. in IEEE Trans. Ind. Appl. 59:4, 3945-3954 (2023). doi:10.1109/TIA.2023.3262220.
13. M. E. I. Martínez et al., Spectral Entropy and Frequency Cepstral Coefficients of Stray Flux Signals for Sparking Detection in DC Motors, 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Chania, Greece, 2023, pp. 524-529, doi:10.1109/SDEMPED54949.2023.10271425.

ENERGY EFFICIENCY

1. P. Fernández de Córdoba, J.A. Conejero. Mathematical modelling in energy efficiency problems. ICIAM Intelligencer (International Congress on Industrial and Applied Mathematics 2019, Valencia.
2. D. Alarcón, Eduardo Balvís, R. Bendaña, J.A. Conejero, P. Fernández de Córdoba, J.L. Higón, J.Mª. Isidro, and H. Michinel. Mathematical modeling and numerical simulation of heat dissipation in LED bulbs. Thermal Sci. 24, 1877-1884 (2020) doi:10.2298/TSCI190521076A
3. F. Florez, P. Fernández de Córdoba, J.L. Higón, J.A. Conejero, and J.L. Poza-Luján. A system to monitor and model the thermal isolation of coating compounds applied to closed spaces. Thermal Sci. 24, 1885-1892 (2020). doi:10.2298/TSCI190525077M 
4. J.L. Poza-Lujan, J.J. Sáenz-Peñafiel, J.L. Posadas-Yagüe, J.A. Conejero and J.C. Cano, Use of receiver operating characteristic curve to evaluate a street lighting control system, IEEE Access, 9, 144660-144675 (2021). doi: 10.1109/ACCESS.2021.3121669
5. Y. Ahsini, P.Díaz-Masa, B. Inglés, A. Rubio, A. Martínez, A. Magraner, J.A. Conejero. The electric vehicle traveling salesman problem on digital elevation models for traffic-aware urban logistics. Algorithms 2023, 16, 402. doi:10.3390/a16090402