【作者】 周子龙； 李夕兵； 龙八军；

【Author】 ZHOU Zi-long, LI Xi-bing, LONG Ba-jun (School of Resourcesand Safety Engineering, Central South University, Changsha 410083, China; Quarry in Lulong County in Hebei Province, Qinhuangdao 066405. China)

【机构】 中南大学资源与安全工程学院； 河北省卢龙县铁路采石场；

【摘要】 根据岩石霍布金逊压杆(SHPB)试验测试信号的高噪声与瞬态非平稳特点,利用小波包分析技术对其进行消噪处理。所得结果与传统方法所得结果比较发现:通常经过应变仪滤波和数据邻值平均法所得的测试结果是不准确的。用能够进行时频多尺度分辨的小波包变换方法进行信号的去噪处理,在揭示信号本身的时频信息的同时, 能尽可能不失真地在强噪环境下重现有效信号,将这种方法用于岩石SHPB测试信号的去噪处理,能够得到可靠的结果。更多还原

【Abstract】 In sight of the highly-noised, instantaneous and non-stationary characteristics of signal in SHPB test of rock, the wavelet-packets analysis technique is used to de-noise the test signal. Through compare between the wavelet-packets de-noised signal with that obtained from conventional method, it is found that the results gotten through strain gauge filtering and successive-values-averaging method is inaccurate. Wavelet packets analysis, as a new and promising tool in signal analyzing, has good resolution in time and scale aspects. The technique is used to de-noise signal from SHPB test of rock, the resolution is obtained in time and frequency domains simultaneously in multi-scales, and the de-noised results have neglectable errorness, the results turn out to be more reliable.更多还原