期刊文献+
共找到9篇文章
< 1 >
每页显示 20 50 100
基于变分模态分解的采空区“三带”微震信号能量衰减规律 被引量:1
1
作者 贾宝新 郑克楠 周琳力 《岩土力学》 EI CAS CSCD 北大核心 2024年第4期991-1002,共12页
为探明微震信号能量在采空区“三带”结构中的衰减规律,拟开展采空区覆岩相似模型试验,采集人工激发微震波经由采空区结构传播的微震信号,通过变分模态分解(variational mode decomposition,VMD)处理微震信号,获取各频率下模态分量。针... 为探明微震信号能量在采空区“三带”结构中的衰减规律,拟开展采空区覆岩相似模型试验,采集人工激发微震波经由采空区结构传播的微震信号,通过变分模态分解(variational mode decomposition,VMD)处理微震信号,获取各频率下模态分量。针对采空区微震信号在VMD下各模态分量中心频率与能量之间的关系展开分析。根据中心频率法确定微震信号最佳模态数量,并计算微震信号欠分解状态、最佳分解状态、过分解状态下各分量能量;对各震源下信号最佳分解状态时各模态分量能量与中心频率分布关系进行拟合,分析在“三带”结构中,微震信号不同传播状态下各结构层对信号能量影响作用。研究结果表明:(1)在VMD过程中,人工激发震动信号有效模态数量在6~11范围内,微震信号能量随模态数量变化明显。(2)采用幂函数可实现对微震信号模态能量与频率关系的拟合,且拟合状态良好(决定系数大于0.9),其中低频模态分量包含能量占信号总能量近50%;采用高斯函数可以拟合震源各分量能量在频域上的分布表现,拟合状态较好,且表现出高斯单峰特征。(3)微震信号穿越采空区“三带”结构,微震信号能量随震源位置与传感器距离增加而减小,同时信号能量随震源位置到达传感器穿越岩层数量增加而减小,信号能量在经由垮落带时,能量变化明显,相较于裂隙带和弯曲下沉带,垮落带对信号能量衰减作用明显。 展开更多
关键词 变分模态分解(VMD) 微震信号 信号频率特征 信号能量衰减 采空区“三带”结构
下载PDF
FY-3G MWRI-RM低频通道亮温观测中的无线电干扰信号及其日变化
2
作者 史震源 邹晓蕾 《气象科学》 2024年第4期691-706,共16页
由于微波辐射计低频通道的非保护性,亮温观测会受到主动传感器的信号污染,被称为无线电频率干扰(Radio-Frequency Interference,RFI)。RFI信号降低了亮温观测资料及其反演产品的准确度。我国近期发射的风云三号G星(FY-3G)搭载了微波成... 由于微波辐射计低频通道的非保护性,亮温观测会受到主动传感器的信号污染,被称为无线电频率干扰(Radio-Frequency Interference,RFI)。RFI信号降低了亮温观测资料及其反演产品的准确度。我国近期发射的风云三号G星(FY-3G)搭载了微波成像仪—降水型(Microwave Radiation Imager-Rainfall Mission,MWRI-RM),在10.65~183.00 GHz的频率范围内设有17个通道,对地球大气进行被动遥感探测。在没有RFI影响情况下,不同通道亮温观测具有高度相关性。利用这一特点,采用标准化主成分分析法,可识别FY-3G MWRI-RM亮温观测资料中RFI的发生位置和强度。与风云三号A/B/C/D/星(FY-3A/B/C/D)不同,FY-3G MWRI-RM可以在不同时间观测到地球同一地点。因此,还可以研究RFI是否有日变化特征。结果表明,RFI信号确实存在于MWRI-RM的低频通道10.65 GHz亮温观测资料中,在中国和欧洲都有集中或零散分布区域,并且呈现日变化特征,RFI强度在白天普遍大于夜间。 展开更多
关键词 FY-3G微波成像仪—降水型 无线电频率干扰信号识别 无线电频率干扰信号日变化特征
下载PDF
基于声学特征信号提取的燃烧不稳定性试验研究
3
作者 杜军 文璧 《燃气涡轮试验与研究》 北大核心 2020年第1期27-30,共4页
为研究航空发动机燃烧不稳定时的声学特征,对发动机燃烧室进行了燃烧不稳定状态下的声学测试试验。测试结果表明,燃烧不稳定现象发生时会伴随着明显的离散单音声学特征信号出现。采用特征频率信号加强的奇异值分解法对离散单音声学特征... 为研究航空发动机燃烧不稳定时的声学特征,对发动机燃烧室进行了燃烧不稳定状态下的声学测试试验。测试结果表明,燃烧不稳定现象发生时会伴随着明显的离散单音声学特征信号出现。采用特征频率信号加强的奇异值分解法对离散单音声学特征信号进行提取及分析,得出该型发动机燃烧室不稳定燃烧时的声源位置位于火焰筒内的火焰区域,声波传播为纵向传播,声模态为一阶纵向模态。可为今后航空发动机燃烧不稳定性研究提供参考。 展开更多
关键词 航空发动机 燃烧室 燃烧不稳定 特征频率信号 奇异值分解法 声波传播特征 声学特征信号
下载PDF
阵列调制随机共振在微弱信号特征提取方面的应用
4
作者 涂水林 邬正义 吴正阳 《计算机测量与控制》 CSCD 北大核心 2012年第6期1599-1601,1609,共4页
论述了阵列调制随机共振方法在强噪声背景下多频微弱信号特征提取中的工作原理和实现步骤;采用预先设定系统参数的多个并联非耦合随机共振单元形成阵列,将被测强噪声背景下的多频微弱信号分别与不同频率的载波进行调制,生成多个差频均为... 论述了阵列调制随机共振方法在强噪声背景下多频微弱信号特征提取中的工作原理和实现步骤;采用预先设定系统参数的多个并联非耦合随机共振单元形成阵列,将被测强噪声背景下的多频微弱信号分别与不同频率的载波进行调制,生成多个差频均为0.01Hz的信号作为各对应随机共振单元的激励信号,采用龙格-库塔算法求取各单元输出并进行频谱分析,根据0.01Hz处的信噪比判断在微弱信号中是否存在载波频率与差频值之和大小的频率分量,最后综合各个随机共振单元的检测结果生成微弱信号的频率特征向量;仿真结果表明,阵列调制随机共振在微弱信号特征提取方面效果明显,具有很好的应用前景。 展开更多
关键词 摘要:论述了阵列调制随机共振方法在强噪声背景下多频微弱信号特征提取中的工作原理和实现步骤 采用预先设定系统参数的多个并联非耦合随机共振单元形成阵列 将被测强噪声背景下的多频微弱信号分别与不同频率的载波进行调制 生成多个差频均为0.01Hz的信号作为各对应随机共振单元的激励信号 采用龙格一库塔算法求取各单元输出并进行频谱分析 根据0.01Hz处的信噪比判断在微弱信号中是否存在载波频率与差频值之和大小的频率分量 最后综合各个随机共振单元的检测结果生成微弱信号频率特征向量 仿真结果表明 阵列调制随机共振在微弱信号特征提取方面效果明显 具有很好的应用前景.关健词:阵列 调制随机共振 微弱信号 特征提取
下载PDF
基于脉搏波检测的驾驶员睡意预警装置 被引量:1
5
作者 刘旭娟 徐俊喆 《计算机测量与控制》 2018年第5期249-251,256,共4页
随着驾驶员人数的不断增加,不文明的驾驶行为也越来越多,其中由于疲劳驾驶所引发的交通事故占据相当大的比例,给人民的生命和财产造成了巨大的损失,因此,对于驾驶员睡意预警装置的技术研究具有非常重要的意义和实用价值;通过对人体脉搏... 随着驾驶员人数的不断增加,不文明的驾驶行为也越来越多,其中由于疲劳驾驶所引发的交通事故占据相当大的比例,给人民的生命和财产造成了巨大的损失,因此,对于驾驶员睡意预警装置的技术研究具有非常重要的意义和实用价值;通过对人体脉搏波信号进行分析处理,采用能够反映驾驶员睡意状态的脉搏频率特征信号作为依据,由STC89C52单片机、按键、数码管、光电传感器、时钟模块、滤波电路、集成运放等构成系统,设计了驾驶员睡意预警装置;调试结果显示该装置识别准确率高,数值可靠,能够有效的检测驾驶员的睡意状态,并在睡意状态时发出预警;对比市场同类型产品,该装置具有成本低廉,操作简单,能够实现车载等特点,为驾驶员睡意预警技术的相关研究提供了一定的技术和实验基础。 展开更多
关键词 脉搏波检测 频率特征信号 睡意预警
下载PDF
汽车发动机典型故障及诊断方法 被引量:1
6
作者 槐元辉 杨京萍 《内燃机与配件》 2020年第6期170-171,共2页
对于汽车发动机故障诊断而言,最关键的一点在于信号故障特征的提取,直接决定汽车发动机故障诊断的准确度。汽车发动机内部结构非常复杂,且影响因素众多,导致目前尚无足够成熟和准确的故障诊断办法。鉴于上述理由,笔者将通过提取发动机... 对于汽车发动机故障诊断而言,最关键的一点在于信号故障特征的提取,直接决定汽车发动机故障诊断的准确度。汽车发动机内部结构非常复杂,且影响因素众多,导致目前尚无足够成熟和准确的故障诊断办法。鉴于上述理由,笔者将通过提取发动机的故障信号频率特征来对汽车发动机的故障及原因进行诊断,希望进一步提升汽车发动机诊断能力。 展开更多
关键词 汽车发动机 故障 信号频率特征 诊断
下载PDF
Acoustic signal characteristic detection by neurons in ventral nucleus of the lateral lemniscus in mice
7
作者 Hui-Hua LIU Cai-Fei HUANG Xin WANG 《Zoological Research》 CAS CSCD 北大核心 2014年第6期500-509,共10页
Under free field conditions, we used single unit extracellular recording to study the detection of acoustic signals by neurons in the ventral nucleus of the lateral lemniscus(VNLL) in Kunming mouse(Mus musculus). The ... Under free field conditions, we used single unit extracellular recording to study the detection of acoustic signals by neurons in the ventral nucleus of the lateral lemniscus(VNLL) in Kunming mouse(Mus musculus). The results indicate two types of firing patterns in VNLL neurons: onset and sustained. The first spike latency(FSL) of onset neurons was shorter than that of sustained neurons. With increasing sound intensity, the FSL of onset neurons remained stable and that of sustained neurons was shortened, indicating that onset neurons are characterized by precise timing. By comparing the values of Q10 and Q30 of the frequency tuning curve, no differences between onset and sustained neurons were found, suggesting that firing pattern and frequency tuning are not correlated. Among the three types of rate-intensity function(RIF) found in VNLL neurons, the proportion of monotonic RIF is the largest, followed by saturated RIF, and non-monotonic RIF. The dynamic range(DR) in onset neurons was shorter than in sustained neurons, indicating different capabilities in intensity tuning of different firing patterns and that these differences are correlated with the type of RIF. Our results also show that the best frequency of VNLL neurons was negatively correlated with depth, supporting the view point that the VNLL has frequency topologic organization. 展开更多
关键词 Ventral nucleus of the lateral lemniscus Firing pattern Frequency tuning Intensity tuning MOUSE
下载PDF
Ultrasonic frogs call at a higher pitch in noisier ambiance 被引量:4
8
作者 Fang ZHANG Pan CHEN Zhuqing CHEN Juan ZHAO 《Current Zoology》 SCIE CAS CSCD 2015年第6期996-1003,共8页
The ultrasonic communication in Concave-eared torrent flogs Odorrana tormota is believed to be an adaptation to avoid masking by the intense low-frequency noise of the rushing stream in their habitat. The acoustic ada... The ultrasonic communication in Concave-eared torrent flogs Odorrana tormota is believed to be an adaptation to avoid masking by the intense low-frequency noise of the rushing stream in their habitat. The acoustic adaptation hypothesis for ultrasonic origin predicts that some organisms subjecting to persistent acoustic interference from broadband, low-frequency en- vironmental noise, might shift their signal frequency upward into frequency bands with lower noise energy. In other words, low-frequency environmental noise might cause upward shifts of species' vocalization frequencies making their signals more conspicuous. Presently, it is unclear whether male O. tormota adjust their signal features in response to a change in the ambient noise level. We tested the prediction of the acoustic adaptation hypothesis by recording the vocalizations of male O. tormota in- habiting two streams with different background noise levels in Huangshan in central China and comparing their call features in- cluding the fundamental frequency (F0). Results showed that the spectrotemporal characteristics of the vocal signals of males in the two habitats were indifferent, except the duration of the call harmonic segments and three parameters related to the call fun- damental frequency (F0). In terms of the F0, the pooled and individual frog data showed that flogs inhabiting the noisier habitat tended to emit calls having higher F0. The higher F0 increases the signal-to-noise ratio, thus benefiting the detection of vocaliza- tion. Thus, similar to several anuran species, concave-eared torrent frogs also display noise-dependent adjustment of vocal pitch in their vocalizations for making them more audible 展开更多
关键词 Acoustic adaptation Ambient noise Odorrana tormota Sound communication
原文传递
Complexity and characteristic frequency studies in ECG signals of mice based on multiple scale factors 被引量:1
9
作者 YANG XiaoDong HE AiJun +2 位作者 LIU Peng SUN TongFeng NING XinBao 《Science China(Life Sciences)》 SCIE CAS 2011年第6期544-552,共9页
Existing methods of physiological signal analysis based on nonlinear dynamic theories only examine the complexity difference of the signals under a single sampling frequency.We developed a technique to measure the mul... Existing methods of physiological signal analysis based on nonlinear dynamic theories only examine the complexity difference of the signals under a single sampling frequency.We developed a technique to measure the multifractal characteristic parameter intimately associated with physiological activities through a frequency scale factor.This parameter is highly sensitive to physiological and pathological status.Mice received various drugs to imitate different physiological and pathological conditions,and the distributions of mass exponent spectrum curvature with scale factors from the electrocardiogram (ECG) signals of healthy and drug injected mice were determined.Next,we determined the characteristic frequency scope in which the signal was of the highest complexity and most sensitive to impaired cardiac function,and examined the relationships between heart rate,heartbeat dynamic complexity,and sensitive frequency scope of the ECG signal.We found that all animals exhibited a scale factor range in which the absolute magnitudes of ECG mass exponent spectrum curvature achieve the maximum,and this range (or frequency scope) is not changed with calculated data points or maximal coarse-grained scale factor.Further,the heart rate of mice was not necessarily associated with the nonlinear complexity of cardiac dynamics,but closely related to the most sensitive ECG frequency scope determined by characterization of this complex dynamic features for certain heartbeat conditions.Finally,we found that the health status of the hearts of mice was directly related to the heartbeat dynamic complexity,both of which were positively correlated within the scale factor around the extremum region of the multifractal parameter.With increasing heart rate,the sensitive frequency scope increased to a relatively high location.In conclusion,these data provide important theoretical and practical data for the early diagnosis of cardiac disorders. 展开更多
关键词 ECG MULTIFRACTALITY COMPLEXITY frequency scale factor characteristic frequency
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部