| A/D | Analog-to-Digital Converter |
| AC | Alternating Current Power |
| AE | Autoencoder |
| AM-FM | Amplitude Modulation and Frequency Modulation |
| ANFIS | Adaptive Neuro-Fuzzy Inference System |
| BLDCM | Brushless Direct Current Motor |
| CF | Condition Factor |
| CIs | Condition Indicators |
| CM | Confusion Matrix |
| CNNs | Convolutional Neural Networks |
| COM-CAN | Communication Interface-Controller Area Network Converter |
| CSV | Comma-Separated Values |
| DAE | Denoising Auto-Encoder |
| DAQ | Data Acquisition |
| DBMs | Deep Boltzmann Machines |
| DBN | Deep Belief Network |
| DC | Direct Current Power |
| DL | Deep Learning |
| DNN | Deep Neural Network |
| ELMD | Ensemble Local Mean Decomposition |
| EO | Energy Operator |
| FFT | Fast Fourier Transform |
| FT | Fourier Transform |
| GKPCA | Greedy Kernel Principal Component Analysis |
| HDBN | Hybrid Deep Belief Network |
| IEPE | Integrated Electronics Piezoelectric |
| k-CDM | K-Step Contrastive Divergence Method |
| KT | Kurtosis |
| LSTM | Long Short-Term Memory |
| MAE | Mean Absolute Error |
| MHMS | Machine Health Monitoring Systems |
| NN | Neural Network |
| P2P | Peak-to-Peak |
| PCA | Principal Component Analysis |
| PGB | Planetary Gearboxes |
| PKFA | Probabilistic Kernel Factor Analysis |
| RMBs | Restricted Boltzmann Machines |
| RMS | Root Mean Square |
| RNNs | Recurrent Neural Networks |
| SAE | Stacked Auto-Encoder |
| SAE-DBN | Sparse Autoencoder-Deep Belief Network |
| SAEs | Sparse Auto-Encoders |
| SCADA | Supervisory Control and Data |
| SD | Standard Deviation |
| SDAs | Stacked Denoising Automatic encoders |
| SK | Skewness |
| TSA | Time Synchronous Averaged |
| WPE | Wavelet Packet Energy |