Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses
Lilia Chaabi, Ahcene Lemzadmi, Abderrazek Djebala, Mohamed Lamine Bouhalais, Nouredine Ouelaa
Topics & Concepts
KurtosisWaveletPrincipal component analysisNoise reductionEnvelope (radar)SIGNAL (programming language)Fault (geology)Hilbert–Huang transformNoise (video)Pattern recognition (psychology)AlgorithmEngineeringControl theory (sociology)MathematicsArtificial intelligenceWhite noiseComputer scienceStatisticsGeologyRadarImage (mathematics)SeismologyTelecommunicationsProgramming languageControl (management)Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and Reliability