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. 2019 May 31;19(11):2504. doi: 10.3390/s19112504
A/D Analog-to-Digital Converter
AC Alternating Current Power
AE Autoencoder
AM-FM Amplitude Modulation and Frequency Modulation
ANFIS Adaptive Neuro-Fuzzy Inference System
BLDCM Brushless Direct Current Motor
CF Condition Factor
CIs Condition Indicators
CM Confusion Matrix
CNNs Convolutional Neural Networks
COM-CAN Communication Interface-Controller Area Network Converter
CSV Comma-Separated Values
DAE Denoising Auto-Encoder
DAQ Data Acquisition
DBMs Deep Boltzmann Machines
DBN Deep Belief Network
DC Direct Current Power
DL Deep Learning
DNN Deep Neural Network
ELMD Ensemble Local Mean Decomposition
EO Energy Operator
FFT Fast Fourier Transform
FT Fourier Transform
GKPCA Greedy Kernel Principal Component Analysis
HDBN Hybrid Deep Belief Network
IEPE Integrated Electronics Piezoelectric
k-CDM K-Step Contrastive Divergence Method
KT Kurtosis
LSTM Long Short-Term Memory
MAE Mean Absolute Error
MHMS Machine Health Monitoring Systems
NN Neural Network
P2P Peak-to-Peak
PCA Principal Component Analysis
PGB Planetary Gearboxes
PKFA Probabilistic Kernel Factor Analysis
RMBs Restricted Boltzmann Machines
RMS Root Mean Square
RNNs Recurrent Neural Networks
SAE Stacked Auto-Encoder
SAE-DBN Sparse Autoencoder-Deep Belief Network
SAEs Sparse Auto-Encoders
SCADA Supervisory Control and Data
SD Standard Deviation
SDAs Stacked Denoising Automatic encoders
SK Skewness
TSA Time Synchronous Averaged
WPE Wavelet Packet Energy