Condition trend prediction of aero-generator based on particle swarm optimization and fuzzy integral
In order to improve and enhance the prediction accuracy and efficiency of aero-generator running trend, grasp its running condition, and avoid accidents happening, in this paper, auto-regressive and moving average model (ARMA) and least squares support vector machine (LSSVM) which are used to predic...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JVE International
2017-08-01
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| Series: | Journal of Vibroengineering |
| Subjects: | |
| Online Access: | https://www.jvejournals.com/article/17917 |