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. 2019 Dec 26;20(1):166. doi: 10.3390/s20010166
Adam adaptive moment estimation
AI artificial intelligence
ALSTM attention-based long short-term memory
BPNN backpropagation neural network
BR Bayesian regression
CALCE center for advanced life cycle engineering
CL convolutional layer
CNN convolutional neural network
CWT continuous wavelet transform
CWTCNN-HI continuous wavelet transform and CNN-based health indicator
DAE deep autoencoder
DNN deep neural network
ELM extreme learning machine
FDF frequency domain feature
FFT fast Fourier transformation
FPT first predicting time
FSPS frequency spectrum partition summation
GBDT gradient boosting decision tree
GPR Gaussian process regression
GR Gaussian regression
GRU gated recurrent unit
HHT Hilbert-Huang transform
HLR high-level representation
Leaky ReLU leaky rectified linear unit
LDA linear discriminant analysis
LR linear regression
LS-SVR least squares-support vector regression
LSTM long short-term memory
MAE mean absolute error
MDGRU multi-dimensional gated recurrent units
MSCNN multi-scale CNN
MSE mean squared error
PCA principal component analysis
PHM prognostics and health management
RBM restricted Boltzmann machine
ReLU rectified linear unit
RF random forest
RMS root mean square
RMSE root mean squared error
RNN recurrent neural network
RNN-HI RNN-health indicator
RS related-similarity
RUL remaining useful life
SOM-HI self-organizing map based health indicator
SSH single scale-high
SSL single scale-low
STFT short-time Fourier transform
SVD support vector data
SVM support vector machine
SVR-HI support vector regression health indicator
TDF time domain feature
TFDF time-frequency domain feature
TFR time frequency representation
TSMC time series multiple channel
WT wavelet transform