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NSHV trajectory prediction algorithm based on aerodynamic acceleration EMD decomposition 被引量:9
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作者 LI Fan XIONG Jiajun +2 位作者 LAN Xuhui BI Hongkui CHEN Xin 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2021年第1期103-117,共15页
Aiming at the problem of gliding near space hypersonic vehicle(NSHV)trajectory prediction,a trajectory prediction method based on aerodynamic acceleration empirical mode decomposition(EMD)is proposed.The method analyz... Aiming at the problem of gliding near space hypersonic vehicle(NSHV)trajectory prediction,a trajectory prediction method based on aerodynamic acceleration empirical mode decomposition(EMD)is proposed.The method analyzes the motion characteristics of the skipping gliding NSHV and verifies that the aerodynamic acceleration of the target has a relatively stable rule.On this basis,EMD is used to extract the trend of aerodynamic acceleration into multiple sub-items,and aggregate sub-items with similar attributes.Then,a prior basis function is set according to the aerodynamic acceleration stability rule,and the aggregated data are fitted by the basis function to predict its future state.After that,the prediction data of the aerodynamic acceleration are used to drive the system to predict the target trajectory.Finally,experiments verify the effectiveness of the method.In addition,the distribution of prediction errors in space is discussed,and the reasons are analyzed. 展开更多
关键词 hypersonic vehicle trajectory prediction empirical mode decomposition(emd) aerodynamic acceleration
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Research on Denoising Method of Agricultural Product Terahertz Spectroscopy Based on Adaptive Signal Decomposition
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作者 WU Jing-zhu LIU Yu-hao +3 位作者 YANG Yi XIE Chuan-luan L Zhong-ming LI Yi-can 《光谱学与光谱分析》 北大核心 2025年第12期3575-3584,共10页
To address the issues of peak overlap caused by complex matrices in agricultural product terahertz(THz)spectral signals and the dynamic,nonlinear interference induced by environmental and system noise,this study explo... To address the issues of peak overlap caused by complex matrices in agricultural product terahertz(THz)spectral signals and the dynamic,nonlinear interference induced by environmental and system noise,this study explores the feasibility of adaptive-signal-decomposition-based denoising methods to improve THz spectral quality.THz time-domain spectroscopy(THz-TDS)combined with an attenuated total reflection(ATR)accessory was used to collect THz absorbance spectra from 48 peanut samples.Taking the quantitative prediction model of peanut moisture content based on THz-ATR as an example,wavelet transform(WT),empirical mode decomposition(EMD),local mean decomposition(LMD),and its improved methods-segmented local mean decomposition(SLMD)and piecewise mirror extension local mean decomposition(PME-LMD)-were employed for spectral denoising.The applicability of different denoising methods was evaluated using a support vector regression(SVR)model.Experimental results show that the peanut moisture content prediction model constructed after PME-LMD denoising achieved the best performance,with a root mean square error(RMSE),coefficient of determination(R^(2)),and mean absolute percentage error(MAPE)of 0.010,0.912,and 0.040,respectively.Compared with traditional methods,PME-LMD significantly improved spectral quality and model prediction performance.The PME-LMD denoising strategy proposed in this study effectively suppresses non-uniform noise interference in THz spectral signals,providing an efficient and accurate preprocessing method for THz spectral analysis of agricultural products.This research provides theoretical support and technical guidance for the application of THz technology for detecting agricultural product quality. 展开更多
关键词 Terahertz spectroscopy Denoising method Agricultural products Support vector regression Piecewise mirror extension local mean decomposition
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Effects of aging on mechanical sensitivity threshold and thermal decomposition characteristic of RDX/HMX
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作者 Shian Zhang Yanru Wang +7 位作者 Zeshan Wang Deyun Liu Mingkun Fang Zhiyong Ma Xingliang Wu Xibo Jiang Sen Xu Dabin Liu 《Defence Technology(防务技术)》 2025年第3期62-72,共11页
In order to analyze the influences of storage aging on the safety of typical elemental explosives,the aged cyclotrimethylene trinitramine(RDX)and cyclotetramethylene tetranitramine(HMX)were prepared by isothermal agin... In order to analyze the influences of storage aging on the safety of typical elemental explosives,the aged cyclotrimethylene trinitramine(RDX)and cyclotetramethylene tetranitramine(HMX)were prepared by isothermal aging tests.The reaction thresholds of aged RDX and HMX under any ignition probability were studied by Langlie-Optimal D method.The thermal decomposition characteristics of RDX and HMX after aging were analyzed by DSC and ARC.Experimental results showed that compared with unaged RDX and HMX,on the one hand,the critical impact energy and critical friction of RDX and HMX aged for 14,28,and 56 days are significantly reduced at an explosion probability of 50%,0.01%,and 0.0001%,respectively.With the increase of aging time,the mechanical sensitivity of RDX and HMX increases obviously.On the other hand,the initial decomposition temperature of RDX and HMX after 56 days of aging decreases,the decomposition heat decreases,the activation energy increases,and the reaction difficulty increases. 展开更多
关键词 RDX HMX 71℃isothermal aging Langlie-optimal D method Mechanical sensitivity Thermal decomposition characteristic
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Utilizing electronic assisted enhancement:An innovative approach for studying the thermal decomposition and combustion of ionic liquids
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作者 Cailing Zhang Yutao Wang +5 位作者 Baiquan Chen Zhenguo Pang Hongqi Nie Quan Zhu Peijin Liu Wei He 《Defence Technology(防务技术)》 2025年第2期179-189,共11页
Flammable ionic liquids exhibit high conductivity and a broad electrochemical window,enabling the generation of combustible gases for combustion via electrochemical decomposition and thermal decomposition.This charact... Flammable ionic liquids exhibit high conductivity and a broad electrochemical window,enabling the generation of combustible gases for combustion via electrochemical decomposition and thermal decomposition.This characteristic holds significant implications in the realm of novel satellite propulsion.Introducing a fraction of the electrical energy into energetic ionic liquid fuels,the thermal decomposition process is facilitated by reducing the apparent activation energy required,and electrical energy can trigger the electrochemical decomposition of ionic liquids,presenting a promising approach to enhance combustion efficiency and energy release.This study applied an external voltage during the thermal decomposition of 1-ethyl-3-methylimidazole nitrate([EMIm]NO_(3)),revealing the effective alteration of the activation energy of[EMIm]NO_(3).The pyrolysis,electrochemical decomposition,and electron assisted enhancement products were identified through Thermogravimetry-Differential scanning calorimetry-Fourier transform infrared-Mass spectrometry(TG-DSC-FTIR-MS)and gas chromatography(GC)analyses,elucidating the degradation mechanism of[EMIm]NO_(3).Furthermore,an external voltage was introduced during the combustion of[EMIm]NO_(3),demonstrating the impact of voltage on the combustion process. 展开更多
关键词 Flammable ionic liquids Kinetic methods Electron assisted enhanced thermal decomposition Electron assisted enhanced combustion
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Modeling and analysis of maneuver laws based on higher order multi-resolution dynamic mode decomposition for hypersonic glide vehicles
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作者 Zichu Liu Yudong Hu +2 位作者 Changsheng Gao Wuxing Jing Xudong Ji 《Defence Technology(防务技术)》 2025年第6期34-47,共14页
The precise characterization of hypersonic glide vehicle(HGV) maneuver laws in complex flight scenarios still faces challenges. Non-stationary changes in flight state due to abrupt changes in maneuver modes place high... The precise characterization of hypersonic glide vehicle(HGV) maneuver laws in complex flight scenarios still faces challenges. Non-stationary changes in flight state due to abrupt changes in maneuver modes place high demands on the accuracy of modeling methods. To address this issue, a novel maneuver laws modeling and analysis method based on higher order multi-resolution dynamic mode decomposition(HMDMD) is proposed in this work. A joint time-space-frequency decomposition of the vehicle's state sequence in the complex flight scenario is achieved with the higher order Koopman assumption and standard multi-resolution dynamic mode decomposition, and an approximate dynamic model is established. The maneuver laws can be reconstructed and analyzed with extracted multi-scale spatiotemporal modes with clear physical meaning. Based on the dynamic model of HGV, two flight scenarios are established with constant angle of attack and complex maneuver laws, respectively. Simulation results demonstrate that the maneuver laws obtained using the HMDMD method are highly consistent with those derived from the real dynamic model, the modeling accuracy is better than other common modeling methods, and the method has strong interpretability. 展开更多
关键词 Hypersonic glide vehicle Dynamic mode decomposition Higher order koopman assumption Manoeuvre law modeling INTERPRETABILITY
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Robust microwave catalytic decomposition of H_(2)S into H_(2) and S at low temperature over Mo_(2)C@CeO_(2) catalysts
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作者 SUN Hongyang CHEN Jun +2 位作者 TU Cong ZHOU Jicheng XU Wentao 《燃料化学学报(中英文)》 北大核心 2025年第9期1399-1415,I0027,I0028,共19页
The new technology of direct decomposition of H_(2)S into high value-added H_(2) and S,as an alternative to the Claus process in industry,is an ideal route that can not only deal with toxic and abundant H_(2)S waste g... The new technology of direct decomposition of H_(2)S into high value-added H_(2) and S,as an alternative to the Claus process in industry,is an ideal route that can not only deal with toxic and abundant H_(2)S waste gas but also recover clean energy H_(2),which has significant socio-economic and ecological advantages.However,the highly effective decomposition of H_(2)S at low temperatures is still a great challenge,because of the stringent thermodynamic equilibrium constraints(only 20% even at high temperature of 1010℃).Conventional microwave catalysts exhibit unsatisfactory performance at low temperatures(below 600℃).Herein,Mo_(2)C@CeO_(2) catalysts with a core-shell structure were successfully developed for robust microwave catalytic decomposition of H_(2)S at low temperatures.Two carbon precursors,para-phenylenediamine(Mo_(2)C-p)and meta-phenylenediamine(Mo_(2)C-m),were employed to tailor Mo_(2)C configurations.Remarkably,the H_(2)S conversion of Mo_(2)C-p@CeO_(2) catalyst at a low temperature of 550℃ is as high as 92.1%,which is much higher than the H_(2)S equilibrium conversion under the conventional thermal conditions(2.6% at 550℃).To our knowledge,this represents the most active catalyst for microwave catalytic decomposition of H_(2)S at low temperature of 550℃.Notably,Mo_(2)C-p demonstrated superior intrinsic activity(84%)compared to Mo_(2)C-m(6.4%),with XPS analysis revealing that its enhanced performance stems from a higher concentration of Mo_(2+)active sites.This work presents a substitute approach for the efficient utilization of H_(2)S waste gas and opens up a novel avenue for the rational design of microwave catalysts for microwave catalytic reaction at low-temperature. 展开更多
关键词 direct decomposition of H_(2)S microwave catalysis low temperature microwave selective catalytic effect Mo_(x)C@CeO_(2) H_(2)production
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A sparse moving array imaging approach for FMCW radar with dualaperture adaptive azimuth ambiguity suppression and adaptive QR decomposition
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作者 Yanwen Han Xiaopeng Yan +3 位作者 Jiawei Wang Sheng Zheng Hongrui Yu Jian Dai 《Defence Technology(防务技术)》 2025年第8期254-271,共18页
Range-azimuth imaging of ground targets via frequency-modulated continuous wave(FMCW)radar is crucial for effective target detection.However,when the pitch of the moving array constructed during motion exceeds the phy... Range-azimuth imaging of ground targets via frequency-modulated continuous wave(FMCW)radar is crucial for effective target detection.However,when the pitch of the moving array constructed during motion exceeds the physical array aperture,azimuth ambiguity occurs,making range-azimuth imaging on a moving platform challenging.To address this issue,we theoretically analyze azimuth ambiguity generation in sparse motion arrays and propose a dual-aperture adaptive processing(DAAP)method for suppressing azimuth ambiguity.This method combines spatial multiple-input multiple-output(MIMO)arrays with sparse motion arrays to achieve high-resolution range-azimuth imaging.In addition,an adaptive QR decomposition denoising method for sparse array signals based on iterative low-rank matrix approximation(LRMA)and regularized QR is proposed to preprocess sparse motion array signals.Simulations and experiments show that on a two-transmitter-four-receiver array,the signal-to-noise ratio(SNR)of the sparse motion array signal after noise suppression via adaptive QR decomposition can exceed 0 dB,and the azimuth ambiguity signal ratio(AASR)can be reduced to below-20 dB. 展开更多
关键词 Frequency modulated continuous wave (FMCW) Sparse motion array Range-azimuth imaging Azimuth ambiguity suppression DAAP Adaptive QR decomposition
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Satellite fault diagnosis method based on predictive filter and empirical mode decomposition 被引量:9
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作者 Yi Shen Yingchun Zhang Zhenhua Wang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2011年第1期83-87,共5页
A novel satellite fault diagnosis scheme is presented based on the predictive filter and empirical mode composition(EMD).First,the predictive filter is utilized to obtain the fault estimation,which is corrupted by n... A novel satellite fault diagnosis scheme is presented based on the predictive filter and empirical mode composition(EMD).First,the predictive filter is utilized to obtain the fault estimation,which is corrupted by noise.Then the EMD method is introduced to decompose the fault estimation into a finite number of intrinsic mode functions and extract the trend of faults for fault diagnosis.The proposed scheme has the ability of diagnosing both abrupt and incipient faults of the actuator in a satellite attitude control subsystem.A mathematical simulation is given to illustrate the effectiveness of the proposed scheme. 展开更多
关键词 satellite fault diagnosis predictive filter empirical mode decomposition(emd).
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基于EMD和FFT的自适应X射线脉冲星信号降噪方法 被引量:1
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作者 王璐 张爽 《电波科学学报》 北大核心 2025年第2期381-394,共14页
X射线脉冲星导航是一种具有发展潜力的深空探测技术,其导航精度主要受X射线脉冲信号到达时间精度影响;X射线脉冲星信号降噪技术有望为X射线脉冲星导航提供良好的信号支撑。在有效抑制噪声的基础上,如何最大限度保留X射线脉冲星信号细节... X射线脉冲星导航是一种具有发展潜力的深空探测技术,其导航精度主要受X射线脉冲信号到达时间精度影响;X射线脉冲星信号降噪技术有望为X射线脉冲星导航提供良好的信号支撑。在有效抑制噪声的基础上,如何最大限度保留X射线脉冲星信号细节信息,一直是X射线脉冲星信号降噪处理中的难点。在经验模态分解(empirical mode decomposition,EMD)阈值降噪中,混叠内蕴模态分量的个数、阈值函数和阈值是影响降噪效果的三个主要因素。本文利用快速傅里叶变换对混叠内蕴模态分量进行分析,据其频域稀疏度筛选出含噪声的高频混叠内蕴模态分量;针对阈值函数和阈值的选择问题,提出了利用复合评价指标选择出阈值函数和阈值估计方法的最优组合,并通过数值仿真验证了该方法的有效性。仿真和测试结果表明本文方法在脉冲星导航方面可能具有应用前景。 展开更多
关键词 脉冲星 经验模态分解(emd) 快速傅里叶变换(FFT) 复合评价指标(CEI) 信号降噪
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基于EMD和时频分析的遥测振动信号降噪方法
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作者 李振兴 李冬 刘建男 《兵工自动化》 北大核心 2025年第10期35-39,55,共6页
针对飞行器试验遥测振动信号频率内容丰富降噪困难问题,提出一种基于经验模态分解(empirical mode decomposition,EMD)和时频分析的遥测振动信号降噪方法。将带噪信号利用EMD进行多尺度分解,得到不同尺度的本征模态分量(intrinsic mode ... 针对飞行器试验遥测振动信号频率内容丰富降噪困难问题,提出一种基于经验模态分解(empirical mode decomposition,EMD)和时频分析的遥测振动信号降噪方法。将带噪信号利用EMD进行多尺度分解,得到不同尺度的本征模态分量(intrinsic mode function,IMF),利用短时傅里叶变换(short time Fourier transform,STFT)得到对应的时频表示,并根据时频能量分布设定滤波阈值,在时频域进行滤波处理。将滤波后的时频表示进行STFT逆变换,并累加求和得到降噪后信号。该方法具有更好的噪声抑制能力,并且保护信号中细节信息不受损失。计算机仿真和实测数据处理结果表明:与EMD降噪、小波降噪相比,该方法仿真条件下信噪比提高约2.8和2.4 dB,在实测信号中信噪比提高约14.3和10.1 dB,证明该方法在遥测振动信号预处理中具有实际应用价值。 展开更多
关键词 遥测 振动信号 emd 时频分析 降噪
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A STUDY ON THE RATE OF SUCROSE DECOMPOSITION IN IMPURE SUGAR SOLUTIONS
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作者 李雁 沈参秋 +1 位作者 李琳 郭祀远 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 1997年第10期7-10,共4页
探讨了不纯糖液中蔗糖酸性分解的反应动力学机理。认为,影响蔗糖分解反应速率常数K的显著因素是pH、温度以及二者的交互作用;非糖组分的影响作用不显著,它们是通过对pH的贡献来实施影响的。论文还建立了相应的数学模型,并进行... 探讨了不纯糖液中蔗糖酸性分解的反应动力学机理。认为,影响蔗糖分解反应速率常数K的显著因素是pH、温度以及二者的交互作用;非糖组分的影响作用不显著,它们是通过对pH的贡献来实施影响的。论文还建立了相应的数学模型,并进行了验证。 展开更多
关键词 蔗糖 分解 反应速率 杂质 数学模型
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改进EMD的断路器机械振动信号去噪处理方法
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作者 周光祥 李鹏 王宽田 《机械设计与制造》 北大核心 2025年第9期368-373,共6页
为有效诊断断路器故障,保障机械安全稳定运行,提出了基于改进EMD的断路器机械振动信号去噪方法。使用基于ARM与FPGA的机械振动信号采集技术,获取断路器机械振动信号。利用EMD算法,将采集到的断路器机械振动信号分解为各个尺度的机械振... 为有效诊断断路器故障,保障机械安全稳定运行,提出了基于改进EMD的断路器机械振动信号去噪方法。使用基于ARM与FPGA的机械振动信号采集技术,获取断路器机械振动信号。利用EMD算法,将采集到的断路器机械振动信号分解为各个尺度的机械振动信号IMF分量与趋势项。对EMD噪声去除方法加以改进,应用交叉证认方法,获取机械振动信号IMF分量中的噪声和信号的主导分量。求解各分量阈值,并应用小波阈值方法去除机械振动信号中的噪声主导分量,获取有用振动信息。经各分量重构处理后,得到去除噪声的断路器机械振动信号。实验结果表明,该方法的断路器机械振动信号去噪效果较好,能够有效提高断路器机械故障诊断的准确性。 展开更多
关键词 FPGA技术 ARM技术 改进emd算法 断路器 机械振动信号 信号去噪
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基于EMD最优匹配的分层联邦学习算法
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作者 吴小红 李佩 +1 位作者 顾永跟 陶杰 《计算机工程》 北大核心 2025年第2期170-178,共9页
联邦学习允许多个客户端在不共享私有数据的情况下协同训练高性能的全局模型。在跨组织场景的水平联邦学习环境下,客户端本地数据分布中的统计异质性将降低全局模型的性能。为提升联邦学习的全局模型性能,同时避免牺牲客户端隐私和增加... 联邦学习允许多个客户端在不共享私有数据的情况下协同训练高性能的全局模型。在跨组织场景的水平联邦学习环境下,客户端本地数据分布中的统计异质性将降低全局模型的性能。为提升联邦学习的全局模型性能,同时避免牺牲客户端隐私和增加计算成本,提出一种新的混合联邦学习算法FedAvg-Match,其基本思路是通过改进联邦学习算法提升客户端的模型质量。该算法面向以不平衡标签分布为特征的数据异构性,在分层联邦学习框架下设计客户端分组聚合算法来减轻客户端数据异构性对模型性能的影响。针对客户端优化分组问题,设计一种基于动态规划的客户端匹配算法DP-ClientMatch,根据客户端的数据分布距离EMD得到最优的客户端分组匹配。在MNIST、Fashion-MNIST和CIFAR-103个数据集上的实验结果表明,与其他联邦学习算法相比,在高度统计异质性的联邦学习场景下,FedAvg-Match算法使全局模型测试精度最少可提高10百分点,可以显著提高联邦学习全局模型在图像分类任务上的性能。 展开更多
关键词 联邦学习 非独立同分布数据 最优匹配 emd最优匹配 模型质量
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基于CEEMDAN和频谱时间图卷积网络的电力负荷预测方法 被引量:1
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作者 朱莉 夏禹 +1 位作者 朱春强 邓凡 《计算机工程》 北大核心 2025年第4期339-349,共11页
针对电力负荷数据存在非平稳性且传统预测模型不能精确获取时序负荷数据的空间相关性和时间依赖性,导致预测精度低的问题,设计并实现一种基于完全集成经验模式分解的自适应噪声完备性(CEEMDAN)和频谱图卷积网络的电力负荷预测方法。首... 针对电力负荷数据存在非平稳性且传统预测模型不能精确获取时序负荷数据的空间相关性和时间依赖性,导致预测精度低的问题,设计并实现一种基于完全集成经验模式分解的自适应噪声完备性(CEEMDAN)和频谱图卷积网络的电力负荷预测方法。首先使用CEEMDAN将目标负荷序列分解为多个本征模态分量(IMF),通过计算模糊熵对IMF进行重构;然后使用频谱时间图卷积网络对重构后分量的空间相关性和时间依赖性进行挖掘,得到各分量的预测结果;最后将各分量的预测结果线性相加得到最终预测结果。实验结果表明,所提方法的平均绝对误差、均方根误差、平均绝对百分比误差3个评价指标分别达到了0.72 KW、0.89 KW、0.92%,相较于对比模型StemGnn、TCN、LSTM、Informer、FEDformer,预测精度分别提高了37.9%、17.2%、20.8%、22.5%、12.1%。证明本文所提出的预测方法可以有效降低非平稳性对预测结果的影响,精确获取时序负荷数据的空间相关性和时间依赖性,提高预测精度。 展开更多
关键词 电力负荷预测 经验模态分解 本征模态分量 图卷积网络 模糊熵
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基于CEEMDAN和熵特征的滚动轴承故障诊断 被引量:5
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作者 高淑芝 陈雪峰 +1 位作者 张义民 石烁 《机械设计与制造》 北大核心 2025年第1期99-102,共4页
针对滚动轴承的故障诊断与分类,提出了一种基于自适应噪声完全集合经验模态分解(CEEMDAN)、模糊测度熵(FME)和粒子群优化算法-概率神经网络(PSO-PNN)的故障诊断方法。首先,CEEMDAN被用于分解振动信号,由于自适应噪声的加入,分解效果得... 针对滚动轴承的故障诊断与分类,提出了一种基于自适应噪声完全集合经验模态分解(CEEMDAN)、模糊测度熵(FME)和粒子群优化算法-概率神经网络(PSO-PNN)的故障诊断方法。首先,CEEMDAN被用于分解振动信号,由于自适应噪声的加入,分解效果得到最大改善。其次,基于FME,对包含故障的模式进行特征提取。最后,将特征向量输入到经过PSO优化的PNN中进行故障分类,优化后的PNN具有更准确的分类精度。通过实验案例验证,该方法的诊断能力得到验证,且分别与使用经验模态分解(EMD)和集合EMD(EEMD)分解方法进行对比,进一步体现了该方法的优越性。 展开更多
关键词 噪声辅助 模态分解 滚动轴承 故障诊断
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优化FEEMD与相似度量的滚动轴承故障特征提取 被引量:3
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作者 马军 李祥 +1 位作者 秦娅 熊新 《兵器装备工程学报》 北大核心 2025年第3期252-266,共15页
针对快速集合经验模态分解(fast ensemble empirical mode decomposition,FEEMD)方法信噪分离不准确的问题,提出一种优化FEEMD与相似度量的滚动轴承故障特征提取方法。该方法建立基于最小包络熵的目标优化函数,并利用北方苍鹰优化算法(n... 针对快速集合经验模态分解(fast ensemble empirical mode decomposition,FEEMD)方法信噪分离不准确的问题,提出一种优化FEEMD与相似度量的滚动轴承故障特征提取方法。该方法建立基于最小包络熵的目标优化函数,并利用北方苍鹰优化算法(northern goshawk optimization,NGO)确定FEEMD的模型参数后,利用优化后的FEEMD将滚动轴承振动信号分解为多个本征模态函数分量和残余项,融合形态波动一致性偏移距离(morphology fluctuation conformance deviation distance,MFCDD)指标筛选有效分量进行重构,最后对重构信号进行Hilbert包络解调,完成滚动轴承故障特征提取。试验结果表明,所提方法相比变分模态分解方法、峭度分量选取方法、改进的完备集合经验模态分解联合豪斯多夫距离与峭度值方法,信噪比分别平均提升了1.75、12.2639、2.0605 dB,均方根误差分别降低了0.0078、0.0430、0.0656,能够更加清晰、全面地提取出故障特征频率及其倍频。 展开更多
关键词 滚动轴承 故障特征提取 集合经验模态分解 相似性 北方苍鹰算法
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基于SSA-IWT-EMD的滚动轴承故障诊断方法 被引量:3
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作者 雷春丽 焦孟萱 +3 位作者 樊高峰 刘世超 薛林林 李建华 《北京航空航天大学学报》 北大核心 2025年第4期1152-1162,共11页
针对小波阈值降噪不充分及经验模态分解(EMD)特征频率提取不明显的问题,提出一种基于麻雀搜索算法-改进小波阈值-EMD(SSA-IWT-EMD)的滚动轴承故障诊断方法。引入2个调节因子,提出一种IWT函数,克服了传统软硬阈值的缺点,并运用SSA对其各... 针对小波阈值降噪不充分及经验模态分解(EMD)特征频率提取不明显的问题,提出一种基于麻雀搜索算法-改进小波阈值-EMD(SSA-IWT-EMD)的滚动轴承故障诊断方法。引入2个调节因子,提出一种IWT函数,克服了传统软硬阈值的缺点,并运用SSA对其各参数进行全局寻优,实现滚动轴承信号降噪。提出一种综合指标P对EMD产生的分量进行选取重构,突出信号的故障特征信息。采用包络谱分析实现轴承的故障诊断。仿真和实测结果验证了所提方法的有效性;同时与单一指标选取分量的方法及文献方法进行对比,说明了综合指标P和所提方法具有更强的降噪能力及特征提取能力,包络谱幅值及倍频成分更明显,可以更好地实现对滚动轴承的故障诊断。 展开更多
关键词 滚动轴承 改进阈值 综合指标 经验模态分解 故障诊断
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An overview on properties,thermal decomposition,and combustion behavior of ADN and ADN based solid propellants 被引量:22
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作者 Pratim Kumar Alliance 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2018年第6期661-673,共13页
Ammonium dinitramide [NH4 N(NO_2)2, ADN] is considered as a possible replacement for ammonium perchlorate(AP) in nearly all kind of solid rocket propulsions in the coming future. The reason to use ADN instead of AP in... Ammonium dinitramide [NH4 N(NO_2)2, ADN] is considered as a possible replacement for ammonium perchlorate(AP) in nearly all kind of solid rocket propulsions in the coming future. The reason to use ADN instead of AP in solid rocket propulsion is because of its harmless combustion products, along with its capacity to generate high specific impulse(Isp). ADN is fairly a new member in the solid oxidizer community and is considered under green energetic material(GEM). Application and feasible utilization of ADN as an oxidizer for composite solid propellants(CSP's) requires complete knowledge of its thermal decomposition processes along with its combustion behavior. A detailed overview on the physical and chemical properties, thermal decomposition, and combustion behavior of ADN and ADN based propellants has been discussed in this paper. Catalytic effect on thermal decomposition, combustion wave structure, and burning rate of ADN is also discussed. 展开更多
关键词 ADN Green oxidizer Green PROPELLANT Thermal decomposition COMBUSTION
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基于两轴TVF-EMD残差信号行星齿轮箱故障诊断方法
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作者 甄冬 桂慧震 +3 位作者 肖东泽 冯国金 景鸿翔 谷丰收 《噪声与振动控制》 北大核心 2025年第6期132-138,共7页
时变滤波经验模态分解(Time Varying Filtering Based Empirical Mode Decomposition,TVF-EMD)是通过利用残差信号递归地将输入信号分解为若干个本征模态函数(Intrinsic mode functions,IMFs),信号中的故障分量通常是利用这些IMFs来识别... 时变滤波经验模态分解(Time Varying Filtering Based Empirical Mode Decomposition,TVF-EMD)是通过利用残差信号递归地将输入信号分解为若干个本征模态函数(Intrinsic mode functions,IMFs),信号中的故障分量通常是利用这些IMFs来识别的,但若完成整个分解过程,往往需要耗费大量时间。因此,通过监测分解过程中残差信号的时域指标来限制其迭代次数,进而利用残差信号替代IMFs识别故障分量,可在保证降噪效果的同时减少计算量;并且利用两轴信号进一步提高信号的信噪比。通过在不同转速和负载工况下与完整TVF-EMD、变分模态分解(Variational Mode Decomposition,VMD)等方法进行对比,证明所提方法在提升降噪性能的同时能够减少所需计算量。 展开更多
关键词 故障诊断 时变滤波经验模态分解 残差信号 两轴信号 行星齿轮箱
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应用二维经验模分解(2D-EMD)-主成分分析(PCA)组合模型定量圈定与评价胶东金与关键金属找矿靶区
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作者 陈永清 郑澳月 +2 位作者 费金娜 赵婕 赵鹏大 《地学前缘》 北大核心 2025年第1期266-282,共17页
近年来,随着制造业和全球经济发展,全球对矿产资源的需求量大幅上升,迫切需要研究和开发新方法来勘探未发现矿产资源。然而,多阶段的成矿作用使成矿元素在地质单元内的分布呈现出复杂的叠加特征,而且大多数矿产常常伴生多种元素。本研... 近年来,随着制造业和全球经济发展,全球对矿产资源的需求量大幅上升,迫切需要研究和开发新方法来勘探未发现矿产资源。然而,多阶段的成矿作用使成矿元素在地质单元内的分布呈现出复杂的叠加特征,而且大多数矿产常常伴生多种元素。本研究将二维经验模分解(2D-EMD)与主成分分析(PCA)相结合,基于胶东金多金属矿集区水系沉积物地球化学数据,提取局部和区域多元素组合异常分量,从多阶段成矿过程产生的复杂叠加异常中识别找矿靶区。研究结果表明:(1)通过PCA建立了Au-Ag-Cd和Be-La-Mo-Nb-Th-U-Y两种多元素组合;(2)应用2D-EMD从主成分得分分别识别多元素成矿组合局部和区域异常分量;(3)局部异常分量可用于识别Au-Ag-Cd和Be-La-Mo-Nb-Th-U-Y找矿靶区,区域异常分量可识别高背景带。结合局部异常分量和花岗岩的空间分布,推断Au-Ag-Cd矿化与玲珑花岗岩和郭家岭花岗闪长岩侵入有关,Be-La-Mo-Nb-Th-U-Y矿化与郭家岭花岗闪长岩侵入体和伟德山二长岩侵入体侵入有关,郭家岭花岗闪长岩岩体具有贵金属和关键金属双重成矿特征。 展开更多
关键词 2D-emd PCA 多元素组合异常分量 胶东金多金属矿集区
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