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 |