| AE | Auto-Encoder |
| AE | Auto-Encoder |
| AI | Artificial Intelligence |
| ANN | Artificial Neural Network |
| ARMA | Auto-regressive Moving Average |
| ARIMA | Auto-Regressive Integrated Moving Average |
| AUC-ROC | Area Under Curve/Receiver Operating Characteristic |
| BN | Bayesian Network |
| CNN | Convolutional Neural Network |
| DBN | Deep Belief Network |
| DBM | Deep Boltzmann Machines |
| DCNN | Deep Convolutional Neural Network |
| DL | Deep Learning |
| DRL | Deep Reinforcement Learning |
| DNN | Deep Neural Networks |
| DT | Decision Tree |
| DWT | Discrete Wavelet Transformation |
| GAN | Generative Adversarial Network |
| GBT | Gradient Boosted Tree |
| GRU | Gated Recurrent Units |
| IoT | Internet of Things |
| KNN | K-Nearest Neighbour |
| LSTM | Long Short-Term Memory Network |
| LR | Logistic Regression |
| MAE | Mean Absolute Error |
| MAPE | Mean Absolute Percentage Error |
| MCMC | Markov Chain Monte Carlo |
| MDP | Markov Decision Process |
| ML | Machine Learning |
| MLP | Multi-Layer Perceptron |
| MSE | Mean Squared Error |
| MTBF | Mean Time Between Failure |
| MTTF | Mean Time To Failure |
| NN | Neural Network |
| PCR | Principal Component Regression |
| PhM | Prognostic and Health Management |
| PdM | Predictive Maintenance |
| PR | Precision-Recall |
| QRF | Quantile Regression Forests |
| ResCNN | Residual Convolutional Neural Network |
| RBM | Restricted Boltzmann Machines |
| RCA | Root Cause Analysis |
| RL | Reinforcement Learning |
| RF | Random Forest |
| rFAR | reduced False Alarm Rate |
| rIPR | reduced Impostor Pass Rate |
| RMSE | Root Mean Squared Error |
| RNN | Recurrent Neural Network |
| RUL | Remaining Useful Life |
| SCM | Structural Causal Models |
| SST | Synchro-Squeezing Transform |
| SVM | Support Vector Machine |
| SVR | Support Vector Regression |
| TL | Transfer Learning |