Noise Reduction Technology of Random Vibration Signal Based on Singular Entropy Theory
Structural random vibration effective information extraction is one of the most important issues to study the dynamic characteristics of engineering structures. Combined with singular entropy theory, an effective method of noise reduction for randoM vibration signal is put forward. Construct analog signal with varying degrees of noise, and the noise is reduced based on the wavelet method, 1IR numeric filter, and singular entropy technique separately, and also the SNR index is calculated separately after noise reduction. Study shows that this method can determine the proper order of singular spectrum of the random vibration signal, and ensure the integrity of information contained in the signal after noise reduction and the maximum SNR improvement to a large extent. This is essential to extract the accurate signal feature and reliable analysis.
singular entropy theory order determination noise reduction technology
Zhang Jianwei Li Huokun
North China University of Water Conservancy and Electric Power ZhengZhou,China School of Civil Engineering Nanchang University NanChang,China
国际会议
Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)
上海
英文
32-35
2009-12-26（万方平台首次上网日期，不代表论文的发表时间）