| 1D | One-Dimensional |
| 2D | Two-Dimensional |
| AE | Autoencoder |
| AI | Artificial Intelligence |
| ARIMA | Autoregressive Integrated Moving Average |
| BPSO | Binary Particle Swarm Optimization |
| CF | Crest Factor |
| CI | Condition Indicators |
| CM | Condition Monitoring |
| CNN | Convolutional Neural Network |
| DNN | Deep Neural Network |
| FC | Frequency Center |
| FN | False Negative |
| FP | False Positive |
| FS | Feature Selection |
| IM | Induction Motor |
| KNN | K-Nearest Neighbour |
| MF | Mean Frequency |
| ML | Machine Learning |
| NN | Neural Network |
| OvA | One-vs-All |
| OvO | One-vs-One |
| PCA | Principal Component Analysis |
| PdM | Predictive Maintenance |
| PP | Peak-to-Peak |
| RBF | Radial Basis Function |
| RF | Random Forest |
| RMS | Root Mean Square |
| RNN | Recurrent Neural Network |
| SF | Shape Factor |
| STD | Standard Deviation |
| SVM | Support Vector Machine |
| TN | True Negative |
| TP | True Positive |
| VC | Voting Classifier |
| VRMS | Velocity Root Mean Square |