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神经网络在风电机组机械传动系统故障诊断中的应用研究 被引量:2

Application research of the fault diagnosis on the wind turbine mechanical transmission system with neural networks
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摘要 基于滚动轴承振动信号,设计了风电机组机械系统主要结构部件滚动轴承的神经网络故障诊断模型,并利用经过归一化处理和一致性检验的振动信号的特征值,构成训练样本对BP神经网络进行训练。经实验验证,该神经网络设计方法,具有较高的识别效率,取得了良好的预期效果。
作者 吴元修
出处 《制造业自动化》 北大核心 2010年第10期130-131,162,共3页 Manufacturing Automation
基金 山东省高等学校优秀青年教师国内访问学者项目资助
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