M
Martin Riera-Guasp
Researcher at Polytechnic University of Valencia
Publications - 70
Citations - 2833
Martin Riera-Guasp is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Induction motor & Fault (power engineering). The author has an hindex of 23, co-authored 69 publications receiving 2335 citations. Previous affiliations of Martin Riera-Guasp include Aalto University.
Papers
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Journal ArticleDOI
Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques
Humberto Henao,Gerard-Andre Capolino,Manes Fernandez-Cabanas,Fiorenzo Filippetti,Claudio Bruzzese,Elias G. Strangas,Remus Pusca,Jorge O. Estima,Martin Riera-Guasp,Shahin Hedayati-Kia +9 more
TL;DR: The fault diagnosis of rotating electrical machines has received an intense amount of research interest during the last 30 years as discussed by the authors, and this topic has become far more attractive and critical as the population of electric machines has greatly increased in recent years.
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Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art
TL;DR: An analysis of the state of the art in this field of electrical machines and drives condition monitoring and fault diagnosis is presented.
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Advanced Induction Motor Rotor Fault Diagnosis Via Continuous and Discrete Time–Frequency Tools
Joan Pons-Llinares,Jose A. Antonino-Daviu,Martin Riera-Guasp,Sang Bin Lee,Tae-June Kang,Chanseung Yang +5 more
TL;DR: A detailed comparison between the two main groups of transforms that are employed in transient analysis: discrete and continuous is presented, tearing down some false myths about their use.
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Application and Optimization of the Discrete Wavelet Transform for the Detection of Broken Rotor Bars in Induction Machines
Jose A. Antonino-Daviu,Martin Riera-Guasp,J. Roger-Folch,Félix Martínez-Giménez,Alfredo Peris +4 more
TL;DR: In this paper, the authors used the discrete wavelet transform (DWT) for the analysis of the starting current of an induction motor to detect rotor rotor bar breakage in electrical induction cage machines.
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Induction Motor Diagnosis by Advanced Notch FIR Filters and the Wigner–Ville Distribution
TL;DR: A filtering process is proposed that uses advanced notch filters in order to remove constant frequency components present in the current of an induction motor, prior to the computation of its distribution, to study rotor asymmetries and mixed eccentricities in transient operation of machines directly connected to the grid.