Predicting the degradation process of bearings before they reach the failure threshold is extremely important in industry. This paper proposed a novel method based on the support vector machine (SVM) and the Markov model to achieve this goal. Firstly. the features are extracted by time and time-frequency domain methods. https://www.roneverhart.com/Tokyo-Milk-Honey-The-Moon-Bon-Bon-Shea-Butter-Rich-Lotion/
Bearing Degradation Process Prediction Based on the Support Vector Machine and Markov Model
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