Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms.
Masoud JalayerCarlotta OrsenigoCarlo VercellisPublished in: Comput. Ind. (2021)
Keyphrases
- rotating machinery
- fault detection and diagnosis
- fault diagnosis
- fault detection
- wavelet transform
- translation invariant
- neural network
- expert systems
- fault detection and isolation
- bp neural network
- recurrent neural networks
- fuzzy logic
- hilbert transform
- image coding
- fourier transform
- multiscale
- radon transform
- real time
- industrial processes
- wavelet transformation
- power plant
- multiresolution
- frequency domain
- shift invariant
- wavelet domain
- image reconstruction
- high frequency
- data mining
- image compression