Noise reduction of AE signal in predicting the disasters of coal mine

摘要：

AE (Acoustic Emission) technique is one of the effective methods to predict the dynamical disasters of coal mine.However,owing to the real application of AE technique in coal mine,the main problem was that there was some complex and various noises in working environment of mine,and the noises would superpose the effective AE signal.As a result,the AE signal is difficult to be identified from the interference signal.To reduce the noise,the numerical filter technique can be competent for the work.LMS (Least Mean Square) adaptive filter was suitable to reduce noise in mine and the MATLAB simulated experiment indicated that this method could availably restrain the noises in a certain extent.

关键词： The LMS algorithm Noise reduction AE (acoustic emission)

作者: Tong Minming Feng Yingbo Xu Jiankun Dai Xinlian

作者单位: College of information and electric engineering,China University of mining and technology Xuzhou,Jiangsu 221008,China

会议类型: 国际会议

会议名称: The 2007 International Conference on Mine Hazards Prevention and Control(2007矿山灾害预防与控制国际学术会议)

会议地点: 青岛

会议语种:英文

页码: 677-682

在线出版日期: 2007-10-17（万方平台首次上网日期，不代表论文的发表时间）