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On the higher-order thermal vibrations of FG saturated porous cylindrical micro-shells integrated with nanocomposite skins in viscoelastic medium
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作者 Zeinab Soleimani-Javid Ehsan Arshid +1 位作者 Saeed Amir Mahdi Bodaghi 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2022年第8期1416-1434,共19页
Since the multi-layered structures are widely used nowadays, and due to interesting applications of cylindrical shells, this study is dedicated to analyzing free vibrational behaviors of functionally graded saturated ... Since the multi-layered structures are widely used nowadays, and due to interesting applications of cylindrical shells, this study is dedicated to analyzing free vibrational behaviors of functionally graded saturated porous micro cylindrical shells with two nanocomposite skins. Based on Biot's assumptions, constitutive relations for the core are presented and effective properties of the skins are determined via the rule of mixture. A sinusoidal theory is used to capture the shear deformation effects, and to account for the scale effects, the modified couple stress theory is employed which suggests a material length-scale parameter for predicting the results in small-dimension. With the aid of extended form of Hamilton's principle for dynamic systems, differential equations of motion are extracted. Fourier series functions are used to obtain natural frequencies and after validating them, a set of parametric studies are carried out. The results show the significant effects of porosity and Skempton coefficient, pores placement patterns, CNTs addition and distribution patterns, temperature variations, material length-scale parameter and viscoelastic medium on the natural frequencies of the microstructure. The outcomes of this work could be used to design and manufacture more reliable micro cylindrical structures in thermo-dynamical environments. 展开更多
关键词 vibration analysis Cylindrical shells Saturate porous materials Nanocomposite materials Carbon nanotubes Sinusoidal shear deformation theory Viscoelastic medium
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Theoretical analysis of adaptive harmonic window and its application in frequency extraction of vibration signal 被引量:9
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作者 LI Shun-ming WANG Jin-rui LI Xiang-lian 《Journal of Central South University》 SCIE EI CAS CSCD 2018年第1期241-250,共10页
The goal of this paper is to find an excellent adaptive window function for extracting the weak vibration signal and high frequency vibration signal under strong noise.The relationship between windowing transform andf... The goal of this paper is to find an excellent adaptive window function for extracting the weak vibration signal and high frequency vibration signal under strong noise.The relationship between windowing transform andfiltering is analyzed first in the paper.The advantage of adjustable time-frequency window of wavelet transform is introduced.Secondly the relationship between harmonic wavelet and multiple analytic band-pass filter is analyzed.The coherence of the multiple analytic band-pass filter and harmonic wavelet base function is discussed,and the characteristic that multiple analytic band-pass filter included in the harmonic wavelet transform is founded.Thirdly,by extending the harmonic wavelet transform,the concept of the adaptive harmonic window and its theoretical equation without decomposition are put forward in this paper.Then comparing with the Hanning window,the good performance of restraining side-lobe leakage possessed by adaptive harmonic window is shown,and the adaptive characteristics of window width changing and analytical center moving of the adaptive harmonic window are presented.Finally,the proposed adaptive harmonic window is applied to weak signal extraction and high frequency orbit extraction of high speed rotor under strong noise,and the satisfactory results are achieved.The application results show that the adaptive harmonic window function can be successfully applied to the actual engineering signal processing. 展开更多
关键词 window function Fourier transform filter harmonic wavelet ADAPTIVE vibration signal extraction
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An isogeometric analysis approach for dynamic response of doubly-curved magneto electro elastic composite shallow shell subjected to blast loading
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作者 Pham Hoang Tu Tran Van Ke +1 位作者 Vu Khac Trai Le Hoai 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第11期159-180,共22页
For the first time, the isogeometric analysis(IGA) approach is used to model and analyze free and forced vibrations of doubly-curved magneto-electro-elastic(MEE) composite shallow shell resting on the visco-Pasternak ... For the first time, the isogeometric analysis(IGA) approach is used to model and analyze free and forced vibrations of doubly-curved magneto-electro-elastic(MEE) composite shallow shell resting on the visco-Pasternak foundation in a hygro-temperature environment. The doubly-curved MEE shallow shell types include spherical shallow shell, cylindrical shallow shell, saddle shallow shell, and elliptical shallow shell subjected to blast load are investigated. The Maxwell equation and electromagnetic boundary conditions are used to determine the vary of the electric and magnetic potentials. The MEE shallow shell's equations of motion are derived from Hamilton's principle and refined higher-order shear theory. Then, the IGA method is used to derive the laws of natural frequencies and dynamic responses of the shell under various boundary conditions. The accuracy of the model and method is verified through reliable numerical comparisons. Aside from this, the impact of the input parameters on the free and forced vibration of the doubly-curved MEE shallow shell is examined in detail. These results may be useful in the design and manufacture of military structures such as warships, fighter aircraft, drones and missiles. 展开更多
关键词 IGA approach Free and forced vibration Doubly-curved MEE shallow shell Blast load
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Features of energy distribution for blast vibration signals based on wavelet packet decomposition 被引量:5
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作者 LING Tong-hua LI Xi-bing DAI Ta-gen PENG Zhen-bin 《Journal of Central South University of Technology》 2005年第z1期135-140,共6页
Blast vibration analysis constitutes the foundation for studying the control of blasting vibration damage and provides the precondition of controlling blasting vibration. Based on the characteristics of short-time non... Blast vibration analysis constitutes the foundation for studying the control of blasting vibration damage and provides the precondition of controlling blasting vibration. Based on the characteristics of short-time nonstationary random signal, the laws of energy distribution are investigated for blasting vibration signals in different blasting conditions by means of the wavelet packet analysis technique. The characteristics of wavelet transform and wavelet packet analysis are introduced. Then, blasting vibration signals of different blasting conditions are analysed by the wavelet packet analysis technique using MATLAB; energy distribution for different frequency bands is obtained. It is concluded that the energy distribution of blasting vibration signals varies with maximum decking charge,millisecond delay time and distances between explosion and the measuring point. The results show that the wavelet packet analysis method is an effective means for studying blasting seismic effect in its entirety, especially for constituting velocity-frequency criteria. 展开更多
关键词 BLASTING vibration NON-STATIONARY RANDOM signal energy distribution WAVELET TRANSFORM WAVELET PACKET decomposition
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A unified prediction solution for vibro-acoustic analysis of composite laminated elliptical shells immersed in air 被引量:3
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作者 GUAN Xian-lei ZHONG Rui +2 位作者 QIN Bin WANG Qing-shan SHUAI Ci-jun 《Journal of Central South University》 SCIE EI CAS CSCD 2021年第2期429-444,共16页
A semi-analytical method to conduct vibro-acoustic analysis of a composite laminated elliptical shell immersed in air is proposed.A variational method and multi-segment technique are used to formulate the dynamic mode... A semi-analytical method to conduct vibro-acoustic analysis of a composite laminated elliptical shell immersed in air is proposed.A variational method and multi-segment technique are used to formulate the dynamic model.The sound radiation of the exterior fluid field is calculated by a spectral Kirchhoff–Helmholtz integral formulation.The variables containing displacements and sound pressure are expanded by the combination of Fourier series and Chebyshev orthogonal polynomials.The collocation points are introduced to construct an algebraic system of acoustic integral equations,where these points are distributed on the roots of Chebyshev polynomials,and the non-uniqueness solution of system is eliminated by a combined Helmholtz integral.Numerical examples for sound radiation problems of composite laminated elliptical shells are presented and individual contributions of the circumferential modes to the acoustical results of composite laminated elliptical shells are also given.The effects of geometric and material parameters on sound radiation of composite laminated elliptical shells are also investigated. 展开更多
关键词 composite laminated elliptical shells semi-analytical method vibration sound radiation
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Influence of maximum decking charge on intensity of blasting vibration 被引量:3
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作者 凌同华 李夕兵 《Journal of Central South University of Technology》 EI 2006年第3期286-289,共4页
Based on the character of short-time non-stationary random signal, the relationship between the maximum decking charge and energy distribution of blasting vibration signals was investigated by means of the wavelet pac... Based on the character of short-time non-stationary random signal, the relationship between the maximum decking charge and energy distribution of blasting vibration signals was investigated by means of the wavelet packet method. Firstly, the characteristics of wavelet transform and wavelet packet analysis were described. Secondly, the blasting vibration signals were analyzed by wavelet packet based on software MATLAB, and the change of energy distribution curve at different frequency bands were obtained. Finally, the law of energy distribution of blasting vibration signals changing with the maximum decking charge was analyzed. The results show that with the increase of decking charge, the ratio of the energy of high frequency to total energy decreases, the dominant frequency hands of blasting vibration signals tend towards low frequency and hlasting vibration does not depend on the maximum decking charge. 展开更多
关键词 maximum decking charge blasting vibration non-stationary random signal wavelet packet analysis
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Research on A Checking Method of Vibration Characteristics for Test System
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作者 Men Xiu hua Xu Jia +1 位作者 LiuBaojian Fu Xiuli 《仪器仪表学报》 EI CAS CSCD 北大核心 2013年第S1期165-170,共6页
To ensure the accuracy and precision of vibration test,a universal checking method is proposed.The use of the method is discussed and an actual example is given.First,the calibration of the 7703A-500 type sensor is an... To ensure the accuracy and precision of vibration test,a universal checking method is proposed.The use of the method is discussed and an actual example is given.First,the calibration of the 7703A-500 type sensor is analyzed on the basis of frequency response method.The frequency range of normal working can be determined by the exact calibration of sensitivity,frequency response and linearity.For the basic problem of abnormal signals appearing in test system,the method of zero check and loading vibration source are developed.The frequency spectrum of output signals is employed to distinguish the noise signal,unknown source signal and useful signal effectively.Finally,the experimental results reveal the importance to improve the accuracy of the results of practical vibration test. 展开更多
关键词 vibration test SENSOR CALIBRATION SIGNAL sensitivity LINEARITY FREQUENCY response
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基于自适应多尺度形态学梯度乘积运算的发电机振动信号特征增强检测 被引量:1
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作者 王晓龙 石海超 +4 位作者 熊江涛 金韩微 张博文 陆志鹏 何玉灵 《中国电机工程学报》 北大核心 2025年第8期3195-3204,I0028,共11页
针对发电机发生定子匝间短路故障时振动信号特征微弱的问题,提出一种基于自适应多尺度形态学梯度乘积运算的发电机振动信号特征增强检测方法。首先,根据发电机定子的振动特征设计一种新颖的星形结构元素,并构建多尺度形态学梯度乘积运... 针对发电机发生定子匝间短路故障时振动信号特征微弱的问题,提出一种基于自适应多尺度形态学梯度乘积运算的发电机振动信号特征增强检测方法。首先,根据发电机定子的振动特征设计一种新颖的星形结构元素,并构建多尺度形态学梯度乘积运算方式;其次,利用白鲨优化策略对星形结构元素的幅值及尺度进行寻优,并将自适应多尺度形态学梯度乘积运算应用在发电机定子振动信号特征增强检测中;最后,对比发电机定子匝间短路理论故障特征频率与处理信号频谱中幅值突出的频率,判断发电机的运行状态。实验证明,所提方法可有效增强发电机定子振动信号特征,提高发电机定子匝间短路故障检出率,具有一定工程参考价值。 展开更多
关键词 发电机 振动信号 数学形态学 星形结构元素
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基于改进变分模式分解的煤矿通风机振动信号特征提取 被引量:1
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作者 陶珑 郭燕飞 《工矿自动化》 北大核心 2025年第2期131-137,共7页
煤矿通风机振动信号是一种非平稳多分量信号。传统的非平稳信号特征信号提取方法存在自适应性差、对通风机早期故障的微弱特征辨识能力有限等问题,基于广义变分模式分解的特征提取方法的信号处理速度难以满足通风机振动信号特征快速提... 煤矿通风机振动信号是一种非平稳多分量信号。传统的非平稳信号特征信号提取方法存在自适应性差、对通风机早期故障的微弱特征辨识能力有限等问题,基于广义变分模式分解的特征提取方法的信号处理速度难以满足通风机振动信号特征快速提取的要求。针对上述问题,提出了一种基于改进变分模式分解的煤矿通风机振动信号特征快速提取方法。在广义变分模式分解算法的基础上,采用乘子交替方向法迭代求解,将约束优化问题转换为无约束优化问题。应用改进变分模式分解算法对信号进行等效分解,得到匹配目标信号特征的等效滤波器,通过内积变换原理快速提取通风机振动信号特征分量。仿真和实验结果表明,改进变分模式分解算法对不同强度的特征分量提取效果均较好,准确性和抗噪性良好,处理通风机实测振动信号的耗时为0.008165 s,与广义变分模式分解算法相比,特征提取速度大幅提升。 展开更多
关键词 煤矿通风机 振动信号 非平稳信号特征提取 变分模式分解 等效滤波器 内积变换
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基于谱元法的任意边界层合圆柱壳振动特性分析
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作者 吴江海 朱真慧 +2 位作者 胡东森 段勇 尹志勇 《振动与冲击》 北大核心 2025年第9期37-44,108,共9页
随着复合材料应用越来越广泛,其振动特性成为相关工程与学术研究热点。基于层合理论,采用谱元法建立了层合圆柱壳动力学计算模型,给出了层合圆柱壳动刚度矩阵表达式。与有限元计算固有频率和振动位移曲线对比,验证了计算方法的正确性。... 随着复合材料应用越来越广泛,其振动特性成为相关工程与学术研究热点。基于层合理论,采用谱元法建立了层合圆柱壳动力学计算模型,给出了层合圆柱壳动刚度矩阵表达式。与有限元计算固有频率和振动位移曲线对比,验证了计算方法的正确性。进一步分析了层合圆柱壳两端弹性边界条件对层合圆柱壳固有频率的影响,给出了层合圆柱壳三个方向的机械阻抗曲线,并研究了弹性边界对机械阻抗的影响。研究发现,两端弹性刚度增加,固有频率升高,机械阻抗共振峰向高频移动。研究结果可为工程中层合圆柱壳的声学设计提供参考。 展开更多
关键词 谱元法 层合圆柱壳 任意边界 振动特性 阻抗
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基于载波频谱分析的激光多普勒振动信号解调
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作者 朱军 张明蔚 +3 位作者 施鹏磊 侯聪 李翔 俞本立 《量子电子学报》 北大核心 2025年第3期345-353,共9页
激光多普勒振动测量多采用激光外差法,其解调过程中需采用正交混频、滤波、反正切等运算,过程较为复杂,硬件要求较高。本文提出一种基于激光多普勒载波信号的频谱分析的方法,利用载波主频与振动信号引起的边频之间的强度关系,直接解析... 激光多普勒振动测量多采用激光外差法,其解调过程中需采用正交混频、滤波、反正切等运算,过程较为复杂,硬件要求较高。本文提出一种基于激光多普勒载波信号的频谱分析的方法,利用载波主频与振动信号引起的边频之间的强度关系,直接解析出振动目标的振幅与频率信息,最大可检测量不受传统外差解调极限的限制。并通过仿真和实验研究,验证了该方法的可行性。在与标准振动源的对标实验中,在距离振动目标17 m、振动目标频率范围为60 Hz~20 kHz的条件下,散射光信号实测幅值范围为21.44 pm~44.21μm,与参考值相比,展示出良好的一致性,表明本文所提频谱分析方法可应用于平稳振动信号的非接触远距离测量。 展开更多
关键词 激光技术 激光测振 频谱分析 多普勒信号 相干探测
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建筑悬臂梁裂缝故障检测方法
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作者 耿城 黄波 马尤苏夫 《机械设计与制造》 北大核心 2025年第7期57-61,67,共6页
为提高悬臂梁裂缝故障检测的准确性和鲁棒性,提出基于振动分析的建筑悬臂梁裂缝故障非侵入式检测方法。该方法从振动信号中提取基于高阶统计量的紧凑向量特征,并使用One-class支持向量机在无裂缝故障的悬臂梁数据周围构建一个闭合区域,... 为提高悬臂梁裂缝故障检测的准确性和鲁棒性,提出基于振动分析的建筑悬臂梁裂缝故障非侵入式检测方法。该方法从振动信号中提取基于高阶统计量的紧凑向量特征,并使用One-class支持向量机在无裂缝故障的悬臂梁数据周围构建一个闭合区域,使得该区域内的事件被标记为无故障,而该区域外的事件被标记为故障。通过对悬臂梁裂缝故障的检测试验验证了所提方法的有效性。在该试验中,振动由3轴加速度计传感器收集;采集系统由开源电子原型平台ARDUINO?控制。验证结果表明,所提方法对早期裂缝检测具有很好的灵敏性;此外,所提方法仅需要训练无裂缝故障的悬臂梁数据,使得流程更加简单和更符合实际情况,可有效解决无法事先了解悬臂梁可能故障的问题。 展开更多
关键词 悬臂梁 裂缝故障 振动信号 支持向量机 检测
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基于能量熵与GWO-ELM的海缆故障信号识别方法
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作者 张涛 刘昊 +3 位作者 张培蕾 刘哲恒 时光蕤 范希评 《光通信研究》 北大核心 2025年第4期71-78,共8页
【目的】针对海底电缆振动信号研究中特征提取效果不佳以及故障诊断效率较低的问题,文章提出了一种基于能量熵特征和灰狼优化(GWO)算法优化极限学习机(ELM)的海缆故障诊断方法。【方法】首先,采用有限元仿真软件模拟得出不同工况的海缆... 【目的】针对海底电缆振动信号研究中特征提取效果不佳以及故障诊断效率较低的问题,文章提出了一种基于能量熵特征和灰狼优化(GWO)算法优化极限学习机(ELM)的海缆故障诊断方法。【方法】首先,采用有限元仿真软件模拟得出不同工况的海缆光单元振动速度信号;然后,结合经验模态分解(EMD)算法将振动信号分解为4个含有固有特征的本征模函数(IMF)分量,提取计算各个IMF分量的能量熵,将其作为指标构建特征向量;最后,将不同工况下的特征向量样本输入采用GWO-ELM方法的分类器中进行工作状态的判断。【结果】在足量样本以及多次计算求平均值的情况下,通过数据总结得出该方法对海缆不同状态的识别准确率能够达到97.4%,分类算法识别时间低至0.9685 s,并设置了多个算法对比组,结果表明,文章所提方法在提取信号特征以及故障诊断方面有着良好效果。【结论】目前海缆在线监测常采用温度和应力分析,文章所提方法在大大降低测量难度的同时,故障特征提取效果较好,能够准确识别海缆的实时工作状态。 展开更多
关键词 海底电缆 振动信号 能量熵 灰狼优化算法 极限学习机 故障诊断
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基于改进RCMDE与优化随机森林的掘进机截割头故障诊断
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作者 马天兵 杨婷 +3 位作者 李长鹏 杜菲 史瑞 于平平 《科学技术与工程》 北大核心 2025年第9期3629-3636,共8页
针对掘进机截割振动信号故障特征不易提取和识别困难等问题,提出了一种精细复合多尺度模糊散布熵(refined composite multiscale fuzzy dispersion entropy,RCMFDE)与河马优化随机森林(hippo optimized random forest,HORF)的掘进机截... 针对掘进机截割振动信号故障特征不易提取和识别困难等问题,提出了一种精细复合多尺度模糊散布熵(refined composite multiscale fuzzy dispersion entropy,RCMFDE)与河马优化随机森林(hippo optimized random forest,HORF)的掘进机截割头故障诊断新方法。首先,利用RCMFDE全面表征掘进机截割头故障特征信息,构建故障特征数据集;其次,采用HORF对故障类型进行训练和测试,实现掘进机截割头的故障模式识别;最后,将所提方法运用在掘进机截割头实验数据分析中,并将其与现有的多尺度模糊熵、精细复合多尺度散布熵故障特征提取方法做比较。实验结果显示:RCMFDE在挖掘故障特征信息方面优于其他两种熵方法,而河马随机森林在故障分类方面优于极限学习机和支持向量机等分类器,所提故障识别模型可以更加精确地识别掘进机截割头的故障类型,且识别准确率达到100%。 展开更多
关键词 掘进机 截割振动信号 特征提取 故障诊断 精细复合多尺度模糊散布熵
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An isogeometric approach for vibration characteristics analysis of functionally graded triply periodic minimal sandwich curved-doubly shell integrated with magneto-electro surface layers subjected to lowvelocity impact load
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作者 Le Hoai Pham Hoang Tu +1 位作者 Van Ke Tran Nguyen Thi Hue 《Defence Technology(防务技术)》 2025年第8期101-125,共25页
In this paper,the isogeometric analysis(IGA)method is employed to analyze the oscillation characteristics of functionally graded triply periodic minimal surface(FG-TPMS)curved-doubly shells integrated with magneto-ele... In this paper,the isogeometric analysis(IGA)method is employed to analyze the oscillation characteristics of functionally graded triply periodic minimal surface(FG-TPMS)curved-doubly shells integrated with magneto-electric surface layers(referred to as"FG-TPMS-MEE curved-doubly shells")subjected to low-velocity impact loads.This study presents low-velocity impact load model based on a single springmass(S-M)approach.The FG-TPMS-MEE curved-doubly shells are covered with two magneto-electric surface layers,while the core layer consists of three types:I-graph and Wrapped Package-graph(IWP),Gyroid(G),and Primitive(P),with various graded functions.These types are notable for their exceptional stiffness-to-weight ratios,enabling a wide range of potential applications.The Maxwell equations and electromagnetic boundary conditions are applied to compute the change in electric potentials and magnetic potentials.The equilibrium equations of the shell are derived from a refined higher-order shear deformation theory(HSDT),and the transient responses of the FG-TPMS-MEE curveddoubly shells are subsequently determined using Newmark's direct integration method.These results have applications in structural vibration control and the analysis of structures subjected to impact or explosive loads.Furthermore,this study provides a theoretical prediction of the low-velocity impact load and magneto-electric-elastic effects on the free vibration and transient response of FG-TPMS-MEE curved-doubly shells. 展开更多
关键词 IGA approach Free vibration and transient response Magneto-electro-elastic curved-doubly shell Low-velocity impact load Functionally graded triply periodic minimal
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基于二次CEEMDAN与CCJC的滚动轴承故障冲击特征提取 被引量:1
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作者 张亢 曹振华 +2 位作者 刘鹏飞 陈向民 牛晓瑞 《噪声与振动控制》 北大核心 2025年第1期112-118,247,共8页
滚动轴承故障振动信号的成分复杂多样,且受噪声和传递路径的影响,导致从中提取表征故障的周期性冲击成分难度很大。对此,利用自适应噪声完全集合经验模态分解(Complete Ensemble Empirical Mode Decomposition with Adaptive Noise,CEEM... 滚动轴承故障振动信号的成分复杂多样,且受噪声和传递路径的影响,导致从中提取表征故障的周期性冲击成分难度很大。对此,利用自适应噪声完全集合经验模态分解(Complete Ensemble Empirical Mode Decomposition with Adaptive Noise,CEEMDAN)良好的非平稳非线性数据处理能力,首先将原始轴承振动信号中的各种成分予以分离,在此基础上,提出相关系数跳变准则(Correlation Coefficient Jump Criterion,CCJC)区别以故障周期性冲击成分为主的分量,以及以噪声和转频成分为主的分量,并通过二次分解二次重构的方式,最大限度去除噪声与转频相关成分,最终得到提纯的滚动轴承故障周期性冲击信号。通过对滚动轴承故障仿真信号和基准数据的分析,表明所提方法可以准确高效提取轴承故障周期性冲击成分;对滚动轴承实验振动信号进行分析,并与经典方法对比,验证所提方法的优势及其良好的工程应用前景。 展开更多
关键词 故障诊断 滚动轴承 振动信号 周期性冲击特征 自适应噪声完全集合经验模态分解 相关系数跳变准则
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基于力-振动信号特征融合的砂轮磨损智能辨识系统
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作者 丁宁 杨云淏 +4 位作者 段景淞 谭鹏乐 张楷毓 董之宁 史尧臣 《机床与液压》 北大核心 2025年第14期106-111,共6页
在磨削加工过程中,砂轮磨损会显著影响加工质量。为了对砂轮磨损状态进行辨识和及时修整,提出一种基于力-振动信号特征融合的智能辨识方法。以难加工的航空航天钛合金材料为磨削对象,建立砂轮磨损状态的多信号采集系统,同步获取磨削力... 在磨削加工过程中,砂轮磨损会显著影响加工质量。为了对砂轮磨损状态进行辨识和及时修整,提出一种基于力-振动信号特征融合的智能辨识方法。以难加工的航空航天钛合金材料为磨削对象,建立砂轮磨损状态的多信号采集系统,同步获取磨削力信号、振动信号和砂轮表面形貌数据。通过结合表面形貌和信号特征分析,探究砂轮磨损的演化规律。将磨削过程中的法向力与切向力之比σ(F_(N)/F_(t))和振动信号均方根值(RMS)作为表征砂轮磨损程度的关键参数,构建基于残差神经网络和支持向量机(ResNet-SVM)的砂轮磨损智能辨识模型,以提高辨识精度。该模型利用ResNet提取深层特征,通过SVM进行分类决策,并采用线性加权融合策略提升系统性能。结果表明:所提方法在砂轮磨损状态识别方面优于传统的CNN-SVM模型,辨识精度可达95%以上。 展开更多
关键词 砂轮磨损 磨削力 振动信号 残差神经网络 支持向量机
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基于STOA-VMD和改进TCN模型的水泵机组振动趋势预测
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作者 王伟生 张宁 +5 位作者 邢磊 周保林 郭新帅 安东 高源 张孝远 《人民黄河》 北大核心 2025年第4期141-144,151,共5页
水泵机组振动趋势预测是保障机组正常运行的重要措施,而振动信号的复杂性和非线性使预测变得困难。为此,提出一种基于STOA-VMD和改进时间卷积网络(TCN)的水泵机组振动趋势预测模型。首先采用乌燕鸥算法(STOA)进行变分模态分解(VMD)参数... 水泵机组振动趋势预测是保障机组正常运行的重要措施,而振动信号的复杂性和非线性使预测变得困难。为此,提出一种基于STOA-VMD和改进时间卷积网络(TCN)的水泵机组振动趋势预测模型。首先采用乌燕鸥算法(STOA)进行变分模态分解(VMD)参数优化,实现振动信号的最优自适应分解,然后利用改进TCN对每个分解模态进行预测,最后叠加所有结果得到最终预测结果。以国内某雨水泵站水泵机组为例,基于水导轴承水平向摆度数据进行模型验证。结果表明:上述组合模型的预测值与监测值的变化趋势基本一致,其具有良好的预测能力。与STOA-VMD-TCN、VMD-EnTCN、VMD-TCN、TCN模型相比,所提出模型的E_(MA)、E_(RMS)、E_(MAP)最小,预测精度最高。 展开更多
关键词 时间卷积网络 乌燕鸥算法 变分模态分解 振动信号 趋势预测 水泵机组
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结合小波变换与注意力机制的轴承故障诊断
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作者 赵玲 孟阳 +2 位作者 蒋振霖 吕颖 王航 《振动.测试与诊断》 北大核心 2025年第3期430-437,616,共9页
针对传统一维轴承振动信号特征表达效果较弱、轴承故障数据时频特征提取困难及其诊断精度较低等问题,提出一种基于小波变换与注意力机制网络(wavelet transform and attention mechanism net,简称WTA-Net)的轻量化轴承故障诊断方法。首... 针对传统一维轴承振动信号特征表达效果较弱、轴承故障数据时频特征提取困难及其诊断精度较低等问题,提出一种基于小波变换与注意力机制网络(wavelet transform and attention mechanism net,简称WTA-Net)的轻量化轴承故障诊断方法。首先,通过小波变换将滚动轴承的一维振动时序信号转化为二维时频图;其次,针对网络训练时梯度消失的问题,提出改进的轻量化骨干网络R-ResNet18提取二维时频图特征;然后,在网络不同尺度的特征层嵌入时空注意力机制(convolutional block attention module,简称CBAM),使网络更加关注二维时频图的关键信息特征;最后,采用标签平滑的交叉熵损失函数来对网络模型进行训练。实验结果表明,所提出方法能够精准地辨识不同故障类型和故障严重程度,在凯斯西储大学轴承数据集10个分类任务中可达到99.9%的分类精度,模型应用在辛辛那提大学智能维护系统(intelligent maintenance systems,简称IMS)轴承数据集上的分类精度达到了99.9%,提取的特征信息区分度高,具有良好的泛化性和鲁棒性。 展开更多
关键词 小波变换 交叉熵损失 注意力机制 故障诊断 振动信号
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融合时频图与分布适应的轴承故障诊断方法
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作者 许志恒 葛鲲鹏 《机械设计与制造》 北大核心 2025年第4期51-59,共9页
针对实际工业场景下轴承故障诊断仍面临的缺少足量故障样本和变工况导致数据分布差异,提出一种融合时频图与分布适应的轴承故障诊断方法。首先,采用连续小波变换处理原始振动信号并提取时频图;其次,构建卷积神经网络实现深度特征自适应... 针对实际工业场景下轴承故障诊断仍面临的缺少足量故障样本和变工况导致数据分布差异,提出一种融合时频图与分布适应的轴承故障诊断方法。首先,采用连续小波变换处理原始振动信号并提取时频图;其次,构建卷积神经网络实现深度特征自适应提取;其次,提出一种改进平衡分布对齐的域适应方法,通过融合最大边际准则实现缩小不同域间分布差异过程中提高特征数据可分性,并基于源域特征数据训练获得自适应分类器,实现不同工况下的轴承故障识别与分类;最后,为验证所提出方法的有效性与泛化能力,采用两种轴承故障数据集开展平衡与非平衡数据样本下的跨域故障诊断实验分析,实验结果表明所提出方法在两种数据集上的平均故障诊断准确率最高分别可达100%和97.50%,明显优于基于经典迁移学习方法构建的对比模型。 展开更多
关键词 故障诊断 振动信号 时频图 卷积神经网络 迁移学习
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