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    题名 作者 年代 出处 被引量
1基于改进S变换的煤岩界面超声反射信号处理显示文摘煤岩识别技术是实现煤矿综采工作面智能化和无人化的关键技术之一。准确分解超声波检测煤岩界面的混叠严重的回波信号方法是研究的重点和难点。分析不同窗函数调节参数对时频分辨率的影响,提出一种改进的S变换,建立非对称高斯调制模型的多重回波混叠信号,采用改进S变换方法对超声波检测煤岩界面的仿真与实验反射回波信号进行处理,采用时间幅值包络曲线方法分离混叠回波。研究结果表明,改进S变换方法具有更好的时频分辨率及时频聚集性,可有效分离煤岩界面的混叠反射回波,获得较准确地超声波煤岩界面反射回波的到达时间,从而,为煤岩界面的识别提供技术支撑。李力 魏伟 唐汝琪 2015煤炭学报2015,40,11:14
2Damage detection on framed structures: modal curvature evaluation using Stockwell Transform under seismic excitation显示文摘The key parameters for damage detection and localization are eigenfrequencies, related equivalent viscous damping factors and mode shapes. The classical approach is based on the evaluation of these structural parameters before and after a seismic event, but by using a modern approach based on time-frequency transformations it is possible to quantify these parameters throughout the ground shaking phase. In particular with the use of the S-Transform, it is possible to follow the temporal evolution of the structural dynamics parameters before, during and after an earthquake. In this paper, a methodology for damage localization on framed structures subjected to strong motion earthquakes is proposed based on monitoring the modal curvature variation in the natural frequency of a structure. Two examples of application are described to illustrate the technique: Computer simulation of the nonlinear response of a model, and several laboratory(shaking table) tests performed at the University of Basilicata(Italy). Damage detected using the proposed approach and damage revealed via visual inspections in the tests are compared.R.Ditommaso F.C.Ponzo G.Auletta 2015Earthquake Engineering and Engineering Vibration2015,14,2:5
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