机构

• 力学研究所 [1]
• 长春光学精密机械与物... [1]
• 武汉岩土力学研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [3]

发表日期

• 2017 [1]
• 2008 [1]
• 2005 [1]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Application of acoustic emission, anisotropy of acoustic velocity and palaeomagnetie technology to determine in-situ stress in tight sands 会议论文  OAI收割 Jeju, Korea, Republic of, May 10, 2017 - May 13, 2017 作者:  Shi X;  Yang L(杨柳);  Han QR   |  收藏  |  浏览/下载：29/0  |  提交时间：2018/11/08 Acoustic emission testing  Acoustic wave velocity  Acoustic wave velocity measurement  Anisotropy  Core drilling  Core samples  Hydraulic fracturing  Infill drilling  Magnetization  Rock mechanics  Rocks  Sand consolidation  Stress measurement  Stresses  Acoustic velocity methods  Confining pressures  Geographic orientations  In  situ stress measurement  Kaiser effect  Non destructive testing  Ordos basin , China  Remanent magnetization   Effect of intermediate principal stress on mechanics characteristic of brittle rock material under true triaxial unloading testing 会议论文  OAI收割 Huangshan, PEOPLES R CHINA, JUN 03-08, 2008 作者:  Chen, B. R.;  Feng, X. T.;  Xiang, T. B.;  Zhou, H.   |  收藏  |  浏览/下载：26/0  |  提交时间：2018/06/05 true triaxial testing  unloading testing  medium principal stress  acoustic emission   AE signal processing and DSP implementation based on wavelet packet analysis (EI CONFERENCE) 会议论文  OAI收割 ICMIT 2005: Information Systems and Signal Processing, September 20, 2005 - September 23, 2005, Changchun, China 作者:  Zhao J.;  Wang K. 收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25 To improve the accuracy of AE (Acoustic Emission) testing  the wavelet packet analysis was introduced to process the AE signals. Extraction of the fault characteristic information would be influenced greatly if the faulted AE signal was not effectively denoised. Based on discussing the fast searching algorithm of BWPB (Best Wavelet Packet Basis) adopting Shannon entropy  a new method based on BWPB was presented to denoise the AE signal from the faulted composite plate. Analyzing was performed on the denoised signal and the fault characteristic information was exacted. To improve the real-time performance of the wavelet packet analysis algorithm  it was performed on the DSP (Digital Signal Processing) chip TMS320VC5409. The experimental results show that the algorithm can not only reduce the noise by 10dB but also effectively extract the faulted characteristics information from the AE signal.