Abnormal Diagnosis Method of Self-Powered Power Supply System Based on Improved GWO-SVM
In order to solve the problem of low abnormal diagnosis rate of self-powered power supply system, an improved grey wolf optimization-support vector machine (GWO-SVM) algorithm combined with maximal information coefficient (MIC) are proposed. First, the feature sets of 11 kinds of monitoring data are...
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| Main Authors: | Ya jie Li, Shao bing Li, Wei Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/1981056 |
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