Improved signal processing for bearing fault diagnosis in noisy environments using signal denoising, time–frequency transform, and deep learning
Hind Hamdaoui, Looh Augustine Ngiejungbwen, Jinan Gu, Shixi Tang
Topics & Concepts
Artificial intelligenceThresholdingSignal processingNoise reductionPattern recognition (psychology)Computer scienceWavelet transformBearing (navigation)Robustness (evolution)SIGNAL (programming language)Fault (geology)Noise (video)Time–frequency analysisWaveletDeep learningEngineeringElectronic engineeringComputer visionDigital signal processingImage (mathematics)Programming languageSeismologyGeologyGeneChemistryBiochemistryFilter (signal processing)Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisAdvanced machining processes and optimization