工矿自动化2017，Vol.43Issue(5)：79-82,4.DOI:10.13272/j.issn.1671-251x.2017.05.020
改进FastICA算法在振动筛复合故障诊断中的应用
Application of improved FastICA algorithm in compound fault diagnosis of vibrating screen
摘要
Abstract
In view of problem that common fault characteristic extraction methods could not extract compound fault characteristic completely and effectively,an improved fast independent component analysis (FastICA) algorithm was proposed.The improved FastICA algorithm adaptively selects different nonlinear function to take progressive analysis,so data characteristic extracted by the improved FastICA algorithm is more accurate than that extracted by FastICA algorithm.The improved FastICA algorithm was applied to compound fault diagnosis of vibrating screen.The simulation and actual test results show that the improved FastICA algorithm can extract different fault characteristics effectively with higher separation accuracy.关键词
振动筛/复合故障诊断/故障特征提取/快速独立分量分析Key words
vibrating screen/compound fault diagnosis/fault characteristic extraction/fast independent component analysis分类
矿业与冶金引用本文复制引用
徐元博,蔡宗琰..改进FastICA算法在振动筛复合故障诊断中的应用[J].工矿自动化,2017,43(5):79-82,4.基金项目
陕西省教育科学“十二五”规划课题项目(SGH13468) （SGH13468）
西京学院科研基金项目(XJ150128). （XJ150128）
