摘要
针对数控磨床磨削加工过程中的颤振现象,提出一种基于希尔伯特-黄变换的磨削颤振特征量提取方法。采用经验模式分解,将信号分解成具有不同特征时间尺度的固有模态函数分量,筛选合适的分量,提取其颤振特征量-实时方差和瞬时能量,并将其作为判断磨削发生颤振的依据。模拟仿真结果表明:基于希尔伯特-黄变换提取的磨削颤振特征量,可以作为颤振发生的判断依据。
In order to research the flutter phenomenon in the grinding process of numerically controlled grinder, this paper puts forward an extraction method of grinding flutter characteristic quantity based on HHT, decomposes signals into intrinsic mode function components with different characteristic time scales with empirical mode decompo- sition, screens the appropriate component, extracts its flutter characteristic quantity-real time variance and instantane- ous energy and uses it as the basis for judging grinding flutter. The result of analog simulation shows that grinding flutter characteristic quamity extracted based on HHT can be used as basis for judging the occurrence of flutter.
出处
《浙江理工大学学报(自然科学版)》
2014年第1期16-19,共4页
Journal of Zhejiang Sci-Tech University(Natural Sciences)
基金
浙江省自然科学基金重点项目(LZ13E050003)
浙江省重点科技创新团队(2010R500OS)