计算机工程与应用2011，Vol.47Issue(9)：8-11,15,5.DOI:10.3778/j.issn.1002-8331.2011.09.003
Hilbert-Huang变换在煤矸界面探测中的应用
Application of Hilbert-Huang transform to coal gangue interface detection.
摘要
Abstract
A new method of vibration signal analysis of coal and gangue based on Hilbert-Huang transform is presented for coal and gangue interface recognition on fully mechanized mining face. To further extract useful information contained in response signals under complicated environment,empirical mode decomposition algorithm is used to decompose the original vibration signal of coal and gangue into the intrinsic modes. By analyzing local Hilbert marginal spectrum and local energy spectrum of the first four intrinsic mode function components, the difference of coal and rock in specific frequency interval is found that the amplitude and energy mainly distribute at frequency interval between 100 Hz and 600 Hz when coal is drawn,while the amplitude and energy mostly concentrate at 1000 Hz or so,when gangne is drawn. Furthermore,the further analysis result from marginal spectrum of each intrinsic mode function component agrees well with the conclusion above.The results show that the extracted features based on EMD and local Hilbert marginal spectrum can be served as coal and gangne interface recognition effectively.关键词
综采工作面/煤矸振动信号/Hilbert-Huang变换/经验模态分解法(EMD)/局部Hilbert边际谱Key words
fully mechanized mining face/vibration signal of coal and gangue/Hilbert-Huang transform/empirical mode decomposition/local Hilbert marginal spectrum分类
信息技术与安全科学引用本文复制引用
刘伟,华臻..Hilbert-Huang变换在煤矸界面探测中的应用[J].计算机工程与应用,2011,47(9):8-11,15,5.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60970105). （the National Natural Science Foundation of China under Grant No.60970105）
