AOPF	Adaptive-Order Particle Filter
AR	Autoregressive
BE	Bispectrum Entropy
BI-LSTM	Bi-Directional Long-Short Term Memory
BT-SVM	Binary Tree Support Vector Machine
CEEMD	Complementary Ensemble Empirical Mode Decomposition
CEEMDAN	Complete Ensemble Empirical Mode Decomposition with Adaptive Noise
CMBSE	Composite Multi-Scale Basic Scale Entropy
CNC	Cosine Neighboring Coefficients
CNN	Convolutional Neural Network
CPRBF-NN	Radial Basis Function Network In Conjunction With Chaos Theory
CWT	Continuous Wavelet Transform
DBN	Deep Belief Network
DCAE	Deep Convolutional Autoencoder
DCS	Discrete Cosine Transform–Composite Spectrum
DCT	Discrete Cosine Transform
DLDR	Double Linear Damage Rule
DT	Decision Trees
EEMD	Ensemble Empirical Mode Decomposition
ELM	Extreme Learning Machine
EM	Expectation Maximization
EMD	Empirical Mode Decomposition
EMMD	Extremum Field Mean Mode Decomposition
ESN	Modified Echo State Networks
EWT	Empirical Wavelet Transform
FA	Factor Analysis
FCM	Fuzzy C-Means
FE	Fuzzy Entropy
FEMD	Fast Empirical Mode Decomposition
FFT	Fast Fourier Transform
FIS	Fuzzy Inference System
FMEA	Failure Mode And Effects Analysis
FMECA	Modes, Effects, And Criticality Analysis
GA	Genetic Algorithm
HHT	Hilbert–Huang Transform
HMM	Hidden Markov Model
HT	Hilbert Transform
IAMMA	Improved Adaptive Multiscale Morphology Analysis
Ir-PCA	Informative ratio-Principal component analysis
IEWT	Improved Empirical Wavelet Transform
IG	Inverse Gaussian
ILCD	Improved Local Characteristic-Scale Decomposition
ITD	Intrinsic Time-Scale Decomposition
JITL	Just In Time Learning
KPCA	Kernel Principal Component Analysis
KS	Kolmogorov-Smirnov
K-VNN	K-Vector Nearest Neighbor
LCD	Local Characteristic-Scale Decomposition
LLTSA	Liner Local Tangent Space Alignment
LMD	Local Mean Decomposition
LR	Logistic Regression
LTSA	Local Tangent Space Alignment
MAAKR	Modified Auto-Associative Kernel Regression
MCPF	Monotonicity-Constrained Particle Filtering
MCS	Monte Carlo Simulation
MD	Mahalanobis Distance
MEEMD	Modified Ensemble Empirical Mode Decomposition
MF	Multi-Fractal Spectrum
MFAM	Multi-Signal Fusion Adversarial Model
MFCC	Mel-Frequency Cepstral Coefficient
MHAPE	Modified Hierarchical Amplitude-Aware Permutation Entropy
MLE	Maximum Likelihood Estimation
MLP	Multilayer Perceptron
MMPE	Mean Of Multi-Scale Permutation Entropy
MPE	Multi-Scale Permutation Entropy
MTS	Mahalanobis–Taguchi System
NCNN	Normalized Convolutional Neural Network
NE	Norm Entropy
NN	Neural Network
PARD	Pruning Algorithm Based Random Degree
PCA	Principal Component Analysis
PCC	Pearson Correlation Coefficient
PHM	Prognostics And Health Management
PNN	Probabilistic Neural Network
PSD	Power Spectral Density
PSE	Power Spectral Entropy
PSO	Particle Swarm Optimization
QPSO	Quantum Particle Swarm Optimization
RBF	Radial Basis Function
RBM	Boltzmann Machine
RE	Relative Entropy
RFC	The Random Forest Classifier
RMS	Root Mean Square
RNS	Real-Valued Negative Selection
RSDD	Resonance-Based Sparse Signal Decomposition
RUL	Remaining Useful Life
SAE	Stacked Autoencoders
SEOS	Smoothed Energy Operation Separation
SIE	Spatial Information Entropy
SMOTE	Synthetic Minority Over-Sampling Technique
SOM-NN	Self-Organizing Mapping Neural Network
SOMP	Stagewise Orthogonal Matching Pursuit
SPIP	Symbolic Perceptually Important Point
SS-SVM	Sphere-Structured Support Vector Machines
STFT	Short Time Fourier Transform
SVD	Singular Value Decomposition
SVM	Support Vector Machine
SVR	Support Vector Regression
T-DSNE	T-Distributed Stochastic Neighbor Embedding
TFE	Time-Frequency Entropy
T-SNE	T-Distributed Stochastic Neighbor Embedding
VCR	Variance Contribution Rate
VMD	Variation Mode Decomposition
WA	Wavelet Analysis
WCRA	Wavelet Coefficient Residual Analysis
WKELM	Wavelet Kernel Extreme Learning Machine
WNC	Wavelet Neighboring Coefficients
WOA	Whale Optimization Algorithm
WOA-KELM	Whale Optimization Algorithm Kernel Extreme Learning Machine
WP	Wavelet Packet
WPA	Wavelet Packet Analysis
WPD	Wavelet Packet Decomposition
WPNE	Wavelet Packet Norm Entropy
WPT	Wavelet Packet Transform
WT	Wavelet Transform