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Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms

Masoud Jalayer, Carlotta Orsenigo, Carlo Vercellis

2020Computers in Industry373 citationsDOI

Topics & Concepts

Computer scienceFeature (linguistics)Fast Fourier transformSensitivity (control systems)Pattern recognition (psychology)Fault (geology)Artificial intelligenceFault detection and isolationWavelet transformSet (abstract data type)WaveletFrequency domainConvolutional neural networkWaveformData miningAlgorithmEngineeringElectronic engineeringComputer visionProgramming languageActuatorLinguisticsSeismologyTelecommunicationsRadarGeologyPhilosophyMachine Fault Diagnosis TechniquesFault Detection and Control SystemsSpectroscopy and Chemometric Analyses
Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms | Litcius