中国机械工程2011，Vol.22Issue(10)：1193-1197,5.
基于负熵的旋转机械盲信号处理
Blind Signal Processing Based on Negentropy for Rotating Machines
摘要
Abstract
In blind signal processing of mechanical equipment, it is common that mechanical source number is more than that of multi-channel observation signals.This was called underdetermined blind signal processing.Then negentropy and empirical mode decomposition(EMD) was introduced into feature abstraction of mechanical equipment to deal with their single channel blind signal processing.This algorithm was composed of three steps.Step 1 was to decompose single channel mechanical observation signals with empirical mode decomposition and get intrinsic mode functions(IMFs).Step 2 was to compute negentropy values of IMFs and form a negentropy eigenvector according to IMFs sequence.Step 3 was to recognize different working patterns and diagnose different faults with LS-SVM.Its applications in blind signal processing of hydraulic gear pumps show that, its fault diagnosis rate is up to 93％ on the whole.This indicates that this algorithm can be applied to mechanical blind signal processing.关键词
盲信号处理/负熵/经验模式分解/最小二乘支持向量机Key words
blind signal processing/ negentropy/ empirical mode decomposition/ least square support vector machine ( LS- SVM )分类
机械制造引用本文复制引用
毋文峰,陈小虎,苏勋家,姚春江,王旭平..基于负熵的旋转机械盲信号处理[J].中国机械工程,2011,22(10):1193-1197,5.基金项目
总装备部预研重点基金资助项目 （）
