Bearing Degradation Process Prediction Based on the Support Vector Machine and Markov Model

Table 1

Original features for bearing fault diagnosis and performance assessment.

Domain	Feature
Time domain	RMS, Kurtosis, Skewness, Peak-Peak, and sample variance
Time-frequency domain	EMD energy (𝐹𝑒1,𝐹𝑒2,𝐹𝑒3,…,𝐹𝑒𝑛)