摘要
用新的理论与方法丰富及提高机械故障诊断技术是机械故障诊断学重要内容之一。本文用约束独立成分分析方法将研究对象的先验信息作为独立成分分析算法的约束条件,使新的算法仅仅收敛于感兴趣的故障信号。可提高故障诊断的针对性和效果。该方法可从传感器信号中快速诊断出设备中是否发生了某种故障,并以滚动轴承的仿真与实验验证该方法的适用性和有效性。
It is very important and necessary for mechanical fault diagnostics to enrich and improve machine fault diagnosis technology.The prior information of the object as a constraint was integrated into the independent component analysis algorithm based on constrained dependent component method and the new algorithm converges only fault signal of interest in the paper.The relevance and effectiveness of fault diagnosis are improved.The method can find out rapidly whether there is a fault in mechanical equipment from sensor signals.The applicability and effectiveness of the method were verified by the simulation and experiment of rolling element bearings.
出处
《振动与冲击》
EI
CSCD
北大核心
2012年第9期118-122,共5页
Journal of Vibration and Shock
基金
国家自然科学基金重点项目(51035007)
国家自然科学基金面上项目(50875162)
关键词
独立成分分析
约束独立成分分析
盲源分离
机械故障诊断
滚动轴承
independent component analysis
constrained independent component analysis
blind source separation
machine fault diagnosis
rolling element bearing
