摘要
提出了基于支持向量机和遗传算法的齿轮剩余使用寿命预测方法,该方法包含退化特征提取、状态数优化和寿命预测三个过程。齿轮箱全寿命数据用来对方法进行验证,通过分析单步和30步预测结果,充分说明了该预测方法的有效性,为后续工作奠定了基础。
In this paper, a remaining useful life prediction method based on support vector machine and genetic algorithm is proposed. This method contains three steps： feature extraction, state optimization and life prediction. The full life test data is used to validate the proposed method. The results of one-step and thirty step prediction are analyzed and the effectiveness of this method is validated. It makes a fundamental for next step work.
出处
《价值工程》
2013年第31期48-50,共3页
Value Engineering
关键词
寿命预测
支持向量机
遗传算法
life prediction
support vector machine
genetic algorithm
