摘要
对旋转机械进行频谱结构预测可以有效地掌握设备未来的运行状态,预判故障类型、性质,锁定故障位置。由于基于单源信息的频谱结构具有不确定性,无法进行预测研究。为保证预测结果的唯一性和准确性,将全矢谱技术引入预测模型,结合灰色GM(1,1)模型,构建全矢-GM(1,1)预测方法用于设备频谱结构预测研究。以汽轮机转子为对象,对其频谱结构进行多步预测,预测精度较高、误差可接受。实验结果表明,该方法能准确对设备频谱结构进行预测,为预知维修提供技术支持。
Spectrum structure projections for rotating machinery can effectively control the operation of the equipment,predict fault type、fault nature and lock fault position.The model,based on the structure of the spectrum of a single source of information,is uncertain and can not be used to predict for research.To ensure the uniqueness and the accuracy of the predicted results,we consider using vector spectrum and GM(1,1)model to build a vector GM(1,1)prediction model which is used for forecasting spectrum structure of steam turbine rotor.Research results show that the method can accurately predict the spectrum structure of the equipment and provide technical support for predicting maintenance of devices.
作者
官振红
赵伟杰
陈磊
韩捷
GUAN Zhen-hong;ZHAO Wei-jie;CHEN Lei;HAN Jie(Institute of Vibration Engineering,Zhengzhou University,He’nan Zhengzhou 450001,China)
出处
《机械设计与制造》
北大核心
2018年第9期8-11,共4页
Machinery Design & Manufacture
基金
河南省教育厅自然科学研究计划(2010B460015)
关键词
旋转机械
频谱结构
全矢谱
GM(1
1)模型
转子
预知维修
Rotating Machinery
Spectrum Structure
Vector Spectrum
GM(1,1)Model
Rotor
Predicting Mainte-nance
