publicaciones seleccionadas documento Bearing fault identification based on blind extraction of cyclostationary signals using order tracking Bearing fault identification using watershed-based thresholding method Blind extraction of instantaneous frequency for order tracking in rotating machines under non-stationary operating conditions Blind instantaneous rotational speed extraction from vibration signals of rotating machines under non-stationary operating conditions Condition monitoring under non-stationary operating conditions using time–frequency representation-based dynamic features Damage detection in vibration signals using non parametric time-frequency representations Damage identification using displacement vibration signal extracted by double integration methods Engine diagnosis based on vibration analysis using different fuel blends Fault diagnostic of machines under variable speed operating conditions using order tracking and novelty detection Feedback on the Surveillance 8 challenge: Vibration-based diagnosis of a Safran aircraft engine Identification of wind turbine natural frequencies using narrow-band decomposition methods Instantaneous frequency estimation and order tracking based on Kalman filters MACHINE LEARNING APPROACHES FOR COVID-19 DETECTION FROM CHEST X-RAY IMAGING: A SYSTEMATIC REVIEW Machine Fault Detection Based on Filter Bank Similarity Features Using Acoustic and Vibration Analysis Machine fault detection scheme based on similarity characterization of spectral components employing acoustic and vibration analysis Nonlinear model for condition monitoring of non-stationary vibration signals in ship driveline application Optimized convolutional neural network models for skin lesion classification Order tracking by Square-Root cubature Kalman Filter with constraints Outlier detection in rotating machinery combining optimized one-class classifiers Outlier detection in rotating machinery under non-stationary operating conditions using dynamic features and one-class classifiers,Deteccion de atipicos en maquinas rotativas con condiciones de operación no estacionarias usando caracteristicas dinamicas y clasificadores de una clase Spectral correlation measure for selecting intrinsic mode functions