机构

• 金属研究所 [1]
• 地质与地球物理研究所 [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 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2022 [1]
• 2021 [1]
• 2017 [1]
• 2005 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序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 The prediction model and experimental research of grinding surface roughness based on AE signal 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 页码: 13 作者:  Yin, Guoqiang   |  收藏  |  浏览/下载：92/0  |  提交时间：2022/07/01 AE signal  Multi-information fusion model  Grinding process  Surface roughness   Crack Propagation Process and Seismogenic Mechanisms of Rock Due to the Influence of Freezing and Thawing 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 20, 页码: 17 作者:  Si, Kai;  Cui, Zhendong;  Peng, Ruidong;  Zhao, Leilei;  Zhao, Yan   |  收藏  |  浏览/下载：64/0  |  提交时间：2022/07/04 freeze-thaw damage  fracture process  acoustic emission  signal processing  AE moment tensor   AE TEST OF CALCAREOUS SANDS WITH PARTICLE RUSHING 期刊论文  OAI收割 POLISH MARITIME RESEARCH, 2017, 卷号: 24, 页码: 118-124 作者:  Wang, Ren;  Tan, Fengyi;  Wang, Xinzhi;  Hu, Mingjian;  Zhu, Changqi   |  收藏  |  浏览/下载：47/0  |  提交时间：2018/06/05 Calcareous sands  Accoustic emission  Conventional triaxial  Consolidated undrained  AE signal  Particle crushing   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. 收藏  |  浏览/下载：50/0  |  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.