湖南大学学报（自然科学版）2013，Vol.40Issue(3)：36-40,5.
基于变量预测模型的模式识别方法在滚动轴承故障诊断中的应用
Application of Pattern Recognition Approach Based on VPMCD in Roller Bearing Fault Diagnosis
摘要
Abstract
Variable predictive model based class discriminate (VPMCD) method was introduced to roller bearing fault diagnosis,and a roller bearing fault diagnosis approach based on empirical mode decomposition (EMD) and VPMCD was put forward.Firstly,different feature vectors were extracted with EMD.Then,different working conditions and failures of roller bearing were distinguished by using VPMCD.Analysis results of vibration signals from roller bearing's normal condition,outer ring fault and inner ring fault show the effectiveness of the proposed approach in roller bearing fault diagnosis.What's more,comparative analysis results demonstrate that VPMCD algorithm gains more stable classification performance and better computational efficiency than artificial neural network (ANN) algorithm.关键词
模式识别/故障诊断/变量预测模型/滚动轴承Key words
pattern recognition/ fault diagnosis/ VPMCD/ roller bearings分类
机械制造引用本文复制引用
杨宇,王欢欢,曾鸣,程军圣..基于变量预测模型的模式识别方法在滚动轴承故障诊断中的应用[J].湖南大学学报（自然科学版）,2013,40(3):36-40,5.基金项目
国家自然科学基金资助项目(51175158,51075131) （51175158,51075131）
湖南省自然科学基金资助项目(11JJ2026) （11JJ2026）
中央高校基本科研业务费专项基金资助项目(531107040301) （531107040301）
湖南大学汽车车身先进设计制造国家重点实验室自主课题资助项目(61075002) （61075002）
