D
David Camarena-Martinez
Researcher at Universidad de Guanajuato
Publications - 36
Citations - 624
David Camarena-Martinez is an academic researcher from Universidad de Guanajuato. The author has contributed to research in topics: Induction motor & Fault (power engineering). The author has an hindex of 12, co-authored 36 publications receiving 436 citations. Previous affiliations of David Camarena-Martinez include Autonomous University of Queretaro.
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Journal ArticleDOI
New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform
Carlos A. Perez-Ramirez,Juan P. Amezquita-Sanchez,Hojjat Adeli,Martin Valtierra-Rodriguez,David Camarena-Martinez,Rene de Jesus Romero-Troncoso +5 more
TL;DR: Numerical and experimental results show accurate identification of the natural frequencies and damping ratios even when the signal is embedded in high-level noise demonstrating that the proposed methodology provides a powerful approach to estimate the modal parameters of a civil structure using ambient vibration excitations.
Journal ArticleDOI
Novel Downsampling Empirical Mode Decomposition Approach for Power Quality Analysis
David Camarena-Martinez,Martin Valtierra-Rodriguez,Carlos A. Perez-Ramirez,Juan P. Amezquita-Sanchez,Rene de Jesus Romero-Troncoso,Arturo Garcia-Perez +5 more
TL;DR: The aim of the proposed iterative downsampling stage fused to the empirical mode decomposition (EMD) method is to extract the fundamental component as the first intrinsic mode function (IMF) to simplify the remaining decomposition.
Journal ArticleDOI
Empirical mode decomposition and neural networks on FPGA for fault diagnosis in induction motors.
David Camarena-Martinez,Martin Valtierra-Rodriguez,Arturo Garcia-Perez,Roque Alfredo Osornio-Rios,Rene de Jesus Romero-Troncoso +4 more
TL;DR: A novel digital structure to implement the empirical mode decomposition (EMD) for processing nonstationary and nonlinear signals using the full spline-cubic function is presented and the detection and classification results show the effectiveness of the proposed fused techniques.
Journal ArticleDOI
Synchrosqueezing transform-based methodology for broken rotor bars detection in induction motors
David Camarena-Martinez,Carlos A. Perez-Ramirez,Martin Valtierra-Rodriguez,Juan P. Amezquita-Sanchez,Rene de Jesus Romero-Troncoso +4 more
TL;DR: In this article, a methodology based on Synchrosqueezing transform for detection of broken rotor bars during the startup transient is presented, and a threshold-based stage using the Pearson product-moment correlation coefficient is presented.
Journal ArticleDOI
Demodulation Technique for Broken Rotor Bar Detection in Inverter-Fed Induction Motor Under Non-Stationary Conditions
Tomas Alberto Garcia-Calva,Daniel Morinigo-Sotelo,Arturo Garcia-Perez,David Camarena-Martinez,Rene de Jesus Romero-Troncoso +4 more
TL;DR: A novel method is proposed to create a new fault pattern that can concentrate the fault harmonic in a specific frequency bandwidth and avoid the spectral leakage by reducing the supply frequency amplitude.