华中科技大学学报（自然科学版）2017，Vol.45Issue(5)：11-16,6.DOI:10.13245/j.hust.170503
基于EEMD和改进功率谱熵的船舶轴频电场检测
Detection of ship shaft-rate electric field based on EEMDand modified power spectral entropy
摘要
Abstract
In order to improve detection performance of weak ship shaft-rate electric field signal buried in strong marine noise, a detection algorithm based on ensemble empirical mode decomposition (EEMD) and energy peak entropy ratio (EPER) feature of narrow-band power spectral was proposed.First, a set of effective intrinsic mode functions (IMFs) were separated from noise-polluted signal by means of EEMD method, and the power spectral of which were then divided into subintervals.Improved power spectral entropy denoted by EPER of each subinterval was then defined and computed.Finally, by analyzing physical characteristics differences between shaft-rate signal and ambient noise, together with K-means clustering method, line spectrum was extracted, and then was used for sliding detection.Processing results of practically measured data indicate that, compared to wavelet packet entropy filtering algorithm, wavelet threshold de-noising algorithm and characteristic frequency band power spectral algorithm, the proposed algorithm has better adaptivity and detection performance.关键词
轴频电场/集合经验模态分解/K-均值聚类/功率谱熵/滑动检测Key words
shaft-rate electric field/ensemble empirical mode decomposition/K-means clustering/power spectral entropy/sliding detection分类
信息技术与安全科学引用本文复制引用
程锐,陈聪,张伽伟..基于EEMD和改进功率谱熵的船舶轴频电场检测[J].华中科技大学学报（自然科学版）,2017,45(5):11-16,6.基金项目
国家自然科学基金资助项目(51109215, 51509252). （51109215, 51509252）
