David I. Ibarra-Zárate

Bearing fault detection with vibration and acoustic signals: Comparison among different machine leaning classification methods

Josué Pacheco-Chérrez, Jesús Anselmo Fortoul-Diaz, Froylán Cortés-Santacruz et al. · Engineering Failure Analysis · 2022 · 108 citations

Engineering, Mechanical Engineering, Acoustics +16

Bearing fault diagnosis in rotating machinery based on cepstrum pre-whitening of vibration and acoustic emission

David I. Ibarra-Zárate, Oscar Tamayo-Pazos, Antonio Vallejo-Guevara · The International Journal of Advanced Manufacturing Technology · 2019 · 45 citations

Engineering, Mechanical Engineering, Acoustics +14

Deep-Learning Method Based on 1D Convolutional Neural Network for Intelligent Fault Diagnosis of Rotating Machines

Jorge Patricio Chuya Sumba, Luz María Alonso-Valerdi, David I. Ibarra-Zárate · Applied Sciences · 2022 · 36 citations · Full text

Computing, Computer Science, Manufacturing Engineering +17

Prediction of Inconel 718 roughness with acoustic emission using convolutional neural network based regression

David I. Ibarra-Zárate, Luz María Alonso-Valerdi, Jorge Patricio Chuya Sumba et al. · The International Journal of Advanced Manufacturing Technology · 2019 · 29 citations

Engineering, Industrial Engineering, Mechanical Engineering +16

EEG frequency band analysis in chronic neuropathic pain: A linear and nonlinear approach to classify pain severity

Daniela M. Zolezzi, Luz María Alonso-Valerdi, David I. Ibarra-Zárate · Computer Methods and Programs in Biomedicine · 2023 · 24 citations · Full text

Medicine, Neurology, Neuroscience +17