Improved EEMD on the Application Research of Signal Trend Analysis
The trend of the measured signal can not only reflect the influence of the external environment,and also reflect the performance of the machine itself mutations.Therefore,removing and extracting tendency item is the necessary link in signal pretreatment.In order to eliminate endpoint effect and modal aliasing phenomenon in EMD and EEMD,based on EEMD,improved EEMD is put forward and the improved EEMD in the application of the signal trend analysis is researched in this paper.In the measured signals to join in a ramp signals,With the improved EEMD decomposition extracted residual items,and the residual items with the original slope signal similarity analysis,the similarity is 0.975.compared to EMD extracted residual items similarity 0.898,EEMD extracted residual items similarity 0.961,the improved EEMD extracted residual item can more accurately reflect the trend of signal.
EEMD Signal trend analysis signal preprocessing Mechanical Fault Diagnosis
Meijun Zhang Chuang Wang Qin Cao Hao Chen
PLA University of Science and Technology,Nanjing,China Guoxin Securities limited Company,Shenzhen,China
国际会议
广州
英文
2020-2023
2012-11-16（万方平台首次上网日期，不代表论文的发表时间）