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经验模态分解在切削振动信号分析中的应用   总被引:1,自引:0,他引:1       下载免费PDF全文
为了分析切削振动的变化规律及产生根源,采用在线监测的方法采集振动信号,提出了运用经验模态分解对振动信号进行分析的方法,构建了分段频率变化的仿真振动信号,分别对仿真振动信号进行短时傅里叶变换、小波变换和经验模态分解时频分析。结果表明,经验模态分解方法具有更高的时频分辨率,运用经验模态分解方法对实际振动信号进行分析,提取典型分量绘制希尔伯特幅值谱,能较好地反映振动信号的时频变化规律。经验模态分解适合对切削振动信号进行分析,但是需要对算法的模态混叠及计算效率低等不足进行完善。研究结果对非平稳信号的分析具有参考价值。  相似文献
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Innovation is a risky business. Notwithstanding the attention in research on the determinants of innovation success, the estimates of the extremely high failure rates (ranging from 40% to 90%) have not come down. As a result, new approaches have to be found to address the issues that prevent organizations from reaching innovation success over a longer period of time. In this study, Signal Detection Theory (SDT) is introduced to show that it may be less important to improve innovation practices in companies, than it is to change the nature of the projects that enter the corporate innovation funnel. In our empirical study of 44 innovation projects in the pharmaceutical and electronics industry, we show that pursuing more noisy signals (uncertain technological and market opportunities) is currently beneficial for innovation success. In general, companies allocate too few resources to noisy innovation opportunities. Interestingly, we find a positive, and not an inverted U-shaped, relationship between noise/signal ratios and innovation success. This indicates that there are almost no companies that take too much risk in the current competitive environment and that many can gain from increasing their noise tolerance. The implications from this study are quite counter-intuitive in a sense that ‘risk’ is not the cause of the innovation problems, but may be a solution.  相似文献
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为了解决宽带独立信号和相干信号同时存在时,信号估计难度大和测向算法复杂的问题,设计了一种新的宽带相干信号测向算法。首先将未知信号进行分解,利用经典多重信号分类算法估计出独立信号的来波方向,然后利用已求出的独立信号信息,将独立信号从未知信号中剔除,只保留相干信号信息,最后利用改进的宽带相干信号测向算法进行相干信号估计。利用Matlab搭建仿真平台,对算法进行了仿真。结果表明,该算法去相关运算简单,可以有效地解决独立信号与相干信号同时存在的问题,提高了信号估计的成功率,并且减小了测向均方根误差,可为宽带测向的研究提供有价值的参考。  相似文献
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针对角钢材质混料造成的错用型号现象,利用不同材质角钢具有不同的冲孔声音和剪切压力的特性,研发了多通道角钢材质检测系统。首先通过分析角钢加工过程中的检测原理,给出了角钢材质检测系统的设计框图;其次给出了硬件系统总体电路图,选择了硬件型号,合理布置了前面板接口和内部线路,且对声音-压力多通道角钢材质检测系统硬件进行了封装;最后,配合软件系统进行了现场安装测试。结果表明,该硬件系统能够完成多通道信号采集、处理、分析、识别等在线检测工作,对于提高角钢的材质检测效率具有参考价值。  相似文献
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