煤矿机电
煤礦機電
매광궤전
COLLIERY MECHANICAL & ELECTRICAL TECHNOLOGY
2012年
3期
84-87
,共4页
徐元博%段志善%贾涛
徐元博%段誌善%賈濤
서원박%단지선%가도
振动筛%轴承故障%源数估计%经验模态分解的盲源分离算法
振動篩%軸承故障%源數估計%經驗模態分解的盲源分離算法
진동사%축승고장%원수고계%경험모태분해적맹원분리산법
vibrating screen%bearing fault%estimation of source number%EMD-BSS (Empiric ModalDecomposition-Blind Source Separation)
振动筛广泛运用于工业领域，振动筛故障诊断研究有实际意义。以振动筛轴承故障为例，先估计振动筛轴承故障时的振动源数，再利用基于经验模态分解（EMD）的盲源分离（BSS）算法分析振动筛轴承的故障特征。
振動篩廣汎運用于工業領域，振動篩故障診斷研究有實際意義。以振動篩軸承故障為例，先估計振動篩軸承故障時的振動源數，再利用基于經驗模態分解（EMD）的盲源分離（BSS）算法分析振動篩軸承的故障特徵。
진동사엄범운용우공업영역，진동사고장진단연구유실제의의。이진동사축승고장위례，선고계진동사축승고장시적진동원수，재이용기우경험모태분해（EMD）적맹원분리（BSS）산법분석진동사축승적고장특정。
The vibrating screen is widely used in industries. The research of its fault diagnosis is possessed of importance. Taking the bearing fault for example, firstly estimates the number of vibrating source of the screen during its trouble, and then analyzes the feature of bearing fault by means of EMD-BSS method.
