A Method for Predicting Remaining Life of Heat Meter Based on Data Fusion of Multiple Degraded Samples
A technology of degradation data and life prediction, which is applied in the field of equipment safety, can solve the problem of low life prediction accuracy of heat meters, achieve the effect of facilitating subsequent data analysis and reducing training time
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[0051] Degradation Index (DI) is a reference established for studying equipment performance degradation to quantitatively describe the degree of performance degradation, and is widely used in the fields of equipment performance degradation and remaining life prediction.
[0052] Support Vector Machine (SVM) is a powerful tool developed under the statistical learning theory system to realize the principle of structural risk minimization. It mainly realizes the principle of structural risk minimization by keeping the empirical risk value fixed and minimizing the confidence range. It is suitable for Learn from small samples. SVM is mainly used in the field of pattern recognition (classification), while Support Vector Regression (SVR) is extended on the basis of SVM theory. As a regression algorithm with known results, it has been widely used in the field of prediction. Applications.
[0053] One-class support vector machine (One-class SVM) is developed on the basis of SVM theory...
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