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Structural plane recognition from three-dimensional laser scanning points using an improved region-growing algorithm based on the robust randomized Hough transform 被引量:1
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作者 XU Zhi-hua GUO Ge +3 位作者 SUN Qian-cheng WANG Quan ZHANG Guo-dong YE Run-qing 《Journal of Mountain Science》 SCIE CSCD 2023年第11期3376-3391,共16页
The staggered distribution of joints and fissures in space constitutes the weak part of any rock mass.The identification of rock mass structural planes and the extraction of characteristic parameters are the basis of ... The staggered distribution of joints and fissures in space constitutes the weak part of any rock mass.The identification of rock mass structural planes and the extraction of characteristic parameters are the basis of rock-mass integrity evaluation,which is very important for analysis of slope stability.The laser scanning technique can be used to acquire the coordinate information pertaining to each point of the structural plane,but large amount of point cloud data,uneven density distribution,and noise point interference make the identification efficiency and accuracy of different types of structural planes limited by point cloud data analysis technology.A new point cloud identification and segmentation algorithm for rock mass structural surfaces is proposed.Based on the distribution states of the original point cloud in different neighborhoods in space,the point clouds are characterized by multi-dimensional eigenvalues and calculated by the robust randomized Hough transform(RRHT).The normal vector difference and the final eigenvalue are proposed for characteristic distinction,and the identification of rock mass structural surfaces is completed through regional growth,which strengthens the difference expression of point clouds.In addition,nearest Voxel downsampling is also introduced in the RRHT calculation,which further reduces the number of sources of neighborhood noises,thereby improving the accuracy and stability of the calculation.The advantages of the method have been verified by laboratory models.The results showed that the proposed method can better achieve the segmentation and statistics of structural planes with interfaces and sharp boundaries.The method works well in the identification of joints,fissures,and other structural planes on Mangshezhai slope in the Three Gorges Reservoir area,China.It can provide a stable and effective technique for the identification and segmentation of rock mass structural planes,which is beneficial in engineering practice. 展开更多
关键词 3D laser scanning Rock discontinuity structural plane Intelligent recognition Robust randomized Hough transform improved region growing algorithm
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Multi-Modal Medical Image Fusion Based on Improved Parameter Adaptive PCNN and Latent Low-Rank Representation
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作者 Zirui Tang Xianchun Zhou 《Instrumentation》 2024年第2期53-63,共11页
Multimodal medical image fusion can help physicians provide more accurate treatment plans for patients, as unimodal images provide limited valid information. To address the insufficient ability of traditional medical ... Multimodal medical image fusion can help physicians provide more accurate treatment plans for patients, as unimodal images provide limited valid information. To address the insufficient ability of traditional medical image fusion solutions to protect image details and significant information, a new multimodality medical image fusion method(NSST-PAPCNNLatLRR) is proposed in this paper. Firstly, the high and low-frequency sub-band coefficients are obtained by decomposing the source image using NSST. Then, the latent low-rank representation algorithm is used to process the low-frequency sub-band coefficients;An improved PAPCNN algorithm is also proposed for the fusion of high-frequency sub-band coefficients. The improved PAPCNN model was based on the automatic setting of the parameters, and the optimal method was configured for the time decay factor αe. The experimental results show that, in comparison with the five mainstream fusion algorithms, the new algorithm has significantly improved the visual effect over the comparison algorithm,enhanced the ability to characterize important information in images, and further improved the ability to protect the detailed information;the new algorithm has achieved at least four firsts in six objective indexes. 展开更多
关键词 image fusion improved parameter adaptive pcnn non-subsampled shear-wave transform latent low-rank representation
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Lamb Wave Arrival Time Extraction Using Hilbert-Huang Transform for Improved Tomography Image
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作者 张海燕 孙修立 樊仕轩 《Journal of Donghua University(English Edition)》 EI CAS 2009年第5期503-508,共6页
Travel time Lamb wave tomography has been shown to be an effective nondestructive evaluation (NDE) technique for plate-like structures. The methods used previously to extract arrival times of the fastest or multi La... Travel time Lamb wave tomography has been shown to be an effective nondestructive evaluation (NDE) technique for plate-like structures. The methods used previously to extract arrival times of the fastest or multi Lamb wave modes are mostly based on various timefrequency methods such as Wigner-Ville distribution, shorttime Fourier transform, and recently explored wavelet transform(WT). Frankly speaking, uses of these signal processing methods improve the accuracy of the arrival time extraction to a great extent relative to directly extract arrival times in time-domain from Lamb waveforms. Hilbert-Huang transform(HHT) is also an efficient way for analyzing and processing non-stationary signals. The resolving power of time and frequency is restricted from Heisenberg principle in wavelet analysis, while in HHT, the time resolving power is precise and steady, and frequency resolving power is adaptive according to signal intrinsic characteristics. Conclusion can be made that the HI-IT method is more adaptive than WT anal;/sis in ~.!~M~ zing non-stationary signals. Based on the abo~, ~tiaf method is attempted to extract arrival times from Lamb waveforms in this paper. The Lamb wave tomography images generated with arrival times from HHT method were compared with those of WT. The results show that the new method improves the quality of tomography image, which demonstrates the applicability of HHT method in extracting arrival times of Lamb waves. 展开更多
关键词 Lamb waves TOMOGRAPHY hilbert-huang transform nondestructive evaluation
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基于改进Hilbert-Huang变换的管路环向裂纹故障诊断研究
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作者 权凌霄 孙世博 +2 位作者 狄梦然 李朋杰 熊国钦 《液压与气动》 北大核心 2024年第4期109-116,共8页
在制造、加工、装配以及服役过程中,航空液压管路可能存在平面型缺陷。在适航载荷作用下,这些缺陷会萌生裂纹并发生扩展,最终导致管路破裂和油液泄漏。为了在管路产生微裂纹时对其进行故障诊断,采用了自行搭建的航空液压管路模态试验平... 在制造、加工、装配以及服役过程中,航空液压管路可能存在平面型缺陷。在适航载荷作用下,这些缺陷会萌生裂纹并发生扩展,最终导致管路破裂和油液泄漏。为了在管路产生微裂纹时对其进行故障诊断,采用了自行搭建的航空液压管路模态试验平台和测控系统,对存在环向裂纹航空液压管路的振动信号进行了采集和预处理。而在对管路振动信号进行分解时,由于经验模态分解(Empirical Mode Decomposition,EMD)算法存在模态混叠问题难以获得准确的本征模态函数(Intrinsic Mode Functions,IMF)。为提高信号处理精度,提出一种基于自适应噪声完备经验模态分解(Complete Ensemble Empirical Mode Decomposition with Adaptive Noise,CEEMDAN)和Hilbert变换理论相结合的改进Hilbert-Huang变换方法对航空液压管路环向裂纹进行故障诊断。研究结果表明,该方法能够更准确地诊断航空液压管路的环向裂纹故障。 展开更多
关键词 航空液压管路 模态分析 改进hilbert-huang变换 裂纹故障诊断
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A technique to improve the empirical mode decomposition in the Hilbert-Huang transform 被引量:5
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作者 陈扬波 冯青 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2003年第1期75-86,共12页
The Hilbert-based time-frequency analysis has promising capacity to reveal the time-variant behaviors of a sys- tem.To admit well-behaved Hilbert transforms,component decomposition of signals must be performed beforeh... The Hilbert-based time-frequency analysis has promising capacity to reveal the time-variant behaviors of a sys- tem.To admit well-behaved Hilbert transforms,component decomposition of signals must be performed beforehand.This was first systematically implemented by the empirical mode decomposition(EMD)in the Hilbert-Huang transform,which can provide a time-frequency representation of the signals.The EMD,however,has limitations in distinguishing different components in narrowband signals commonly found in free-decay vibration signals.In this study,a technique for decompo- sing components in narrowband signals based on waves' beating phenomena is proposed to improve the EMD,in which the time scale structure of the signal is unveiled by the Hilbert transform as a result of wave beating,the order of component ex- traction is reversed from that in the EMD and the end effect is confined.The proposed technique is verified by performing the component decomposition of a simulated signal and a free decay signal actually measured in an instrumented bridge structure.In addition,the adaptability of the technique to time-variant dynamic systems is demonstrated with a simulated time-variant MDOF system. 展开更多
关键词 time-frequency analysis hilbert-huang transform component decomposition
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An image encryption algorithm based on improved baker transformation and chaotic S-box 被引量:4
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作者 Xing-Yuan Wang Huai-Huai Sun Hao Gao 《Chinese Physics B》 SCIE EI CAS CSCD 2021年第6期216-225,共10页
The algorithm is an image encryption algorithm based on the improved baker transformation and chaotic substitution box(S-box). It mainly uses the initial values and parameters of a one-dimensional logistic chaotic sys... The algorithm is an image encryption algorithm based on the improved baker transformation and chaotic substitution box(S-box). It mainly uses the initial values and parameters of a one-dimensional logistic chaotic system as an encryption key. Specifically, in the image scrambling stage, the algorithm primarily uses an improved baker transform method to process the image. In the image diffusion stage, the algorithm first uses the chaotic S-box method to process the encryption key. Secondly, an exclusive OR(XOR) operation is performed on the image and the encryption key to initially diffuse the image. Finally, the image is again diffused using the method of ortho XOR. Simulation analysis shows that the algorithm can achieve good encryption effect, simple and easy implementation, and good security. In the digital image communication transmission, it has good practical value. 展开更多
关键词 image encryption improved baker transformation chaotic S-box chaotic sequence
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An Improved Chirplet Transform and Its Application for Harmonics Detection 被引量:1
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作者 Guo-Sheng Hu Feng-Feng Zhu 《Circuits and Systems》 2011年第3期107-111,共5页
The chirplet transform is the generalization form of fast Fourier transform , short-time Fourier transform, and wavelet transform. It has the most flexible time frequency window and successfully used in practices. How... The chirplet transform is the generalization form of fast Fourier transform , short-time Fourier transform, and wavelet transform. It has the most flexible time frequency window and successfully used in practices. However, the chirplet transform has not inherent inverse transform, and can not overcome the signal reconstructing problem. In this paper, we proposed the improved chirplet transform (ICT) and constructed the inverse ICT. Finally, by simulating the harmonic voltages, The power of the improved chirplet transform are illustrated for harmonic detection. The contours clearly showed the harmonic occurrence time and harmonic duration. 展开更多
关键词 HARMONICS improved CHIRPLET transform (ICT) S-transform TIME-FREQUENCY Representation (TFR)
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基于Transformer改进的Faster RCNN在复杂环境下的车辆检测
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作者 王鑫泽 何超 《机电工程技术》 2024年第4期106-110,共5页
在监控视角中目标车辆较小、遮挡较为严重,导致检测精度低。通过探讨卷积神经网络和Transformer模型的互相借鉴和联系,并结合损失函数等常规改进,提出了新的Faster RCNN模型。通过借鉴Transformer模型的思想,对原有的特征提取网络进行... 在监控视角中目标车辆较小、遮挡较为严重,导致检测精度低。通过探讨卷积神经网络和Transformer模型的互相借鉴和联系,并结合损失函数等常规改进,提出了新的Faster RCNN模型。通过借鉴Transformer模型的思想,对原有的特征提取网络进行了改进,将原block比例3∶4∶6∶3改为3∶3∶27∶3、卷积核由3×3改为7×7,增大其感受野,能够更好捕捉图像中的全局特征,使用DW卷积来减少参数量并略微提高性能,使用Channel shuffle解决通道间信息不交流的问题。将原先交并比IoU改为CIoU,与改进后的特征提取网络结合,进一步提高小目标和遮挡目标的检测效果。在UA-DETRAC数据集上,改进后的模型在mAP@0.5:0.95方面比原算法提高了20.20%,并在大、中、小目标下分别提高了15.8%、23%和45.8%,相较于其他模型,如YO⁃LOv7、YOLOv5和Cascade RCNN,mAP@0.5:0.95分别提高了3.3%、5%和6.69%。 展开更多
关键词 transformER CIoU损失函数 卷积神经网络改进 改进的Faster RCNN
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Improved Relative-transformation Principal Component Analysis Based on Mahalanobis Distance and Its Application for Fault Detection 被引量:8
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作者 SHI Huai-Tao LIU Jian-Chang +4 位作者 XUE Peng ZHANG Ke WU Yu-Hou ZHANG Li-Xiu TAN Shuai 《自动化学报》 EI CSCD 北大核心 2013年第9期1533-1542,共10页
主要部件分析(PCA ) 广泛地在过程工业被使用了,它能维持最大的差错察觉率。尽管许多问题在 PCA 被处理了,一些必要问题仍然保持未解决。这研究以下列方法为差错察觉性能改进 PCA。第一,一个相对转变计划基于 Mahalanobis 距离(MD )... 主要部件分析(PCA ) 广泛地在过程工业被使用了,它能维持最大的差错察觉率。尽管许多问题在 PCA 被处理了,一些必要问题仍然保持未解决。这研究以下列方法为差错察觉性能改进 PCA。第一,一个相对转变计划基于 Mahalanobis 距离(MD ) 被介绍消除数据的尺寸的效果而不是无尺寸的标准化,并且改进精确性和差错察觉的即时性能。理论推导证明那相对转变能直接基于 MD 消除尺寸的效果并且在结果显示出的相对空间,分析和模拟给 PCA 的合理解释它的优势和有效性。第二,一个改进摆平的预言错误(SPE ) 统计数值被给改进标准化 PCA 的差错察觉表演,它能使标准化基于 PCA 的差错察觉方法成为对实际工业过程合适的更多。最后,二个改进方法被联合更有效地检测差错。建议方法被使用在热连续滚动过程检测 looper 系统的单个差错和多差错,模拟结果以易感知,精确性和差错察觉的即时性能为差错察觉性能表明这些改进的有效性。 展开更多
关键词 故障检测率 主成分分析 马氏距离 应用 分析基 转化 故障检测方法 实时性能
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THE IMPROVED ISOPARAMETRIC TRANSFORMATION IN BEM
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作者 丁浩江 何文军 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 1989年第8期695-700,共6页
The midside node sensitivity of eight-node isoparametric element in 3-D BEM is investigated. The paper points out that the suggestion, based upon which the midside nodes should be located in the middle third of distan... The midside node sensitivity of eight-node isoparametric element in 3-D BEM is investigated. The paper points out that the suggestion, based upon which the midside nodes should be located in the middle third of distance between the adjacent corners, should be followed even more strictly for the conventional isoparametric transformation (CIT) in BEM as that in FEM. A new coordinate transformation relation has been put forward to solve the singular integral problem. The computation is carried to two cases: a cubic body subjected to tensile stress and pure bending. The numerical results show that the improved isoparametric transformation (IIT) is easier and more flexible to practice. 展开更多
关键词 THE improved ISOPARAMETRIC transformATION IN BEM NODE
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Fault Attribute Reduction of Oil Immersed Transformer Based on Improved Imperialist Competitive Algorithm
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作者 Li Bian Hui He +1 位作者 Hongna Sun Wenjing Liu 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2020年第6期83-90,共8页
The original fault data of oil immersed transformer often contains a large number of unnecessary attributes,which greatly increases the elapsed time of the algorithm and reduces the classification accuracy,leading to ... The original fault data of oil immersed transformer often contains a large number of unnecessary attributes,which greatly increases the elapsed time of the algorithm and reduces the classification accuracy,leading to the rise of the diagnosis error rate.Therefore,in order to obtain high quality oil immersed transformer fault attribute data sets,an improved imperialist competitive algorithm was proposed to optimize the rough set to discretize the original fault data set and the attribute reduction.The feasibility of the proposed algorithm was verified by experiments and compared with other intelligent algorithms.Results show that the algorithm was stable at the 27th iteration with a reduction rate of 56.25%and a reduction accuracy of 98%.By using BP neural network to classify the reduction results,the accuracy was 86.25%,and the overall effect was better than those of the original data and other algorithms.Hence,the proposed method is effective for fault attribute reduction of oil immersed transformer. 展开更多
关键词 transformer fault improved imperialist competitive algorithm rough set attribute reduction BP neural network
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从U-Net到Transformer:深度模型在医学图像分割中的应用综述
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作者 张玮智 于谦 +2 位作者 苏金善 乎西旦·居马洪 林玲 《计算机应用》 CSCD 北大核心 2024年第S01期204-222,共19页
精准分割医学图像中的病灶对医生探寻病因和制定诊疗方案起关键作用,计算机视觉技术的发展促使深度学习在医学图像分割领域衍生出多种模型架构。U-Net架构以其巧妙的跳跃连接、易于优化的模块设计成为这一领域的基准模型。然而,U-Net以... 精准分割医学图像中的病灶对医生探寻病因和制定诊疗方案起关键作用,计算机视觉技术的发展促使深度学习在医学图像分割领域衍生出多种模型架构。U-Net架构以其巧妙的跳跃连接、易于优化的模块设计成为这一领域的基准模型。然而,U-Net以卷积神经网络(CNN)为主干,在长期建模依赖关系方面只擅长获取局部特征,基于CNN的各项方法在执行分割任务中缺乏对图像长期相关性的解释,无法提取全局特征。为帮助本领域学者了解U-Net的发展历程及研究现状,以问题为导向对2016-2023年U-Net改进工作进行综述。首先,从改进结构位置的角度对U-Net及其各项改进模型进行叙述,探讨各工作的研究目的和创新设计及不足之处;其次,对Transformer与U-Net的结合方式进行分析,从中获取改进工作的研究动向;最后,在Synapse和ACDC数据集上进行对比实验,通过实验分析和可视化结果表明,Transformer方法在分割精度方面有显著优势,特别是混合网络子块的结合方式,在确保模型性能的同时兼顾效率,证明了该类工作有着广阔的发展前景和研究价值。 展开更多
关键词 医学图像分割 U-Net 结构改进 transformER 深度神经网络
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考虑多维影响因素的改进Transformer-PSO短期电价预测方法
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作者 孙欣 王思敏 +2 位作者 谢敬东 江海林 王森 《上海交通大学学报》 EI CAS CSCD 北大核心 2024年第9期1420-1431,共12页
随着多元化电力市场的建设,电价影响因素日益增加,市场环境变化也更加剧烈.为提高市场短期电价的预测精度,提出一种考虑多种电价影响因素的改进Transformer-粒子群优化(PSO)算法短期电价预测方法.首先,在考虑历史电价、负荷的基础上进... 随着多元化电力市场的建设,电价影响因素日益增加,市场环境变化也更加剧烈.为提高市场短期电价的预测精度,提出一种考虑多种电价影响因素的改进Transformer-粒子群优化(PSO)算法短期电价预测方法.首先,在考虑历史电价、负荷的基础上进一步分析电价形成的相关因素,利用自相关函数分析电价的多周期特性并在此基础上调整输入序列,克服了仅采用历史数据以及经验调整输入序列导致预测精度受限的问题.其次,结合长短期记忆(LSTM)、自注意力机制与多层注意力机制并采用多输入结构建立改进Transformer模型,进一步提升LSTM模型捕获不同时间步信息间的长短期依赖关系的能力,克服LSTM的信息利用瓶颈,适应包括历史电价及多种电价成因的复杂多序列输入.此外,还利用PSO智能算法搜索模型不同学习阶段的最佳学习率克服手动调整学习率的局限性.最后,采用PJM市场电价进行算例分析,结果表明所提短期电价预测模型能应用于电价影响因素多、变化剧烈的市场环境,并有效提升短期电价预测精度. 展开更多
关键词 短期电价预测 多维影响因素 自相关分析 改进transformer模型 粒子群优化
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Detection of broken manhole cover using improved Hough and image contrast 被引量:5
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作者 张丰焰 陈荣保 +1 位作者 李扬 过秀成 《Journal of Southeast University(English Edition)》 EI CAS 2015年第4期553-558,共6页
The damage or loss of urban road manhole covers may cause great risk to residents' lives and property if they cannot be discovered in time. Most existing research recommendations for solving this problem are difficul... The damage or loss of urban road manhole covers may cause great risk to residents' lives and property if they cannot be discovered in time. Most existing research recommendations for solving this problem are difficult to implement. This paper proposes an algorithm that combines the improved Hough transform and image comparison to identify the damage or loss of the manhole covers in complicated surface conditions by using existing urban road video images. Focusing on the pre-processed images, the edge contour tracking algorithm is applied to find all of the edges. Then with the improved Hough transformation, color recognition and image matching algorithm, the manhole cover area is found and the change rates of the manhole cover area are calculated. Based on the threshold of the change rates, it can be determined whether there is potential damage or loss in the manhole cover. Compared with the traditional Hough transform, the proposed method can effectively improve the processing speed and reduce invalid sampling and accumulation. Experimental results indicate that the proposed algorithm has the functions of effective positioning and early warning in the conditions of complex background, different perspectives, and different videoing time and conditions, such as when the target is partially covered. 展开更多
关键词 manhole cover edge tracking improved Hough transform shape detection image contrast
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Improved HHT and its application in narrowband radar imaging for precession cone-shaped targets 被引量:2
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作者 Shen Zhao Jie Niu +1 位作者 Xiang Li Chunjie Qiao 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2014年第6期977-986,共10页
Imaging the spatial precession cone-shaped targets with narrowband radar is a new technical approach in mid-course recognition problem. However, most existing time-frequency methods still have some inevitable deficien... Imaging the spatial precession cone-shaped targets with narrowband radar is a new technical approach in mid-course recognition problem. However, most existing time-frequency methods still have some inevitable deficiencies for extracting microDoppler information in practical applications, which leads to blurring of the image. A new narrowband radar imaging algorithm for the precession cone-shaped targets is proposed. The instantaneous frequency of each scattering point is gained by using the improved Hilbert-Huang transform, then the positions of scattering points in the parameter domain are reconstructed. Numerical simulation and experiment results confirm the effectiveness and high precision of the proposed algorithm. 展开更多
关键词 improved hilbert-huang transform(HHT) instanta-neous frequency narrowband radar imaging precession cone-shaped targets
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基于改进Transformer的生成式文本摘要模型 被引量:6
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作者 赵伟 王文娟 +3 位作者 任彦凝 刘群 胥钟予 彭露 《重庆邮电大学学报(自然科学版)》 CSCD 北大核心 2023年第1期185-192,共8页
基于循环神经网络(recurrent neural network,RNN)注意力机制的序列到序列模型在摘要信息提取服务中已经取得了较好的应用,但RNN不能较好地捕捉长时序信息,这使现有模型受限。为此,提出了基于改进Transformer的生成式文本摘要模型。该... 基于循环神经网络(recurrent neural network,RNN)注意力机制的序列到序列模型在摘要信息提取服务中已经取得了较好的应用,但RNN不能较好地捕捉长时序信息,这使现有模型受限。为此,提出了基于改进Transformer的生成式文本摘要模型。该模型利用Transformer提取全局语义,使用局部卷积提取器提取原文细粒度特征,并设计全局门控单元以防止信息冗余和弥补语义不足,筛选出利于摘要生成的文本关键信息。实验结果表明,所提模型在大规模中文短文本摘要数据集(large scale Chinese short text summarization,LCSTS)上的效果有明显的提升,在电力运维摘要数据集上,也有良好效果,具有可扩展性。 展开更多
关键词 生成式摘要 序列到序列 改进transformer 局部卷积
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The improved ICA algorithm and its application in the seismic data denoising 被引量:6
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作者 QIN Fei-long LIU Jian 《Journal of Chongqing University》 CAS 2018年第4期162-170,共9页
The field seismic data is disturbed by the interferential information, which has low signal to noise ratio (SNR). That is disadvantage for seismic data interpretation. So it is important to remove the noise of seismic... The field seismic data is disturbed by the interferential information, which has low signal to noise ratio (SNR). That is disadvantage for seismic data interpretation. So it is important to remove the noise of seismic data. Independent component analysis (ICA) can remove most of the noise interference. However, ICA has some defects in noise reduction, because it needs some conditions that seismic data is independent reciprocally for denoising. To solve these defects, this paper proposes an improved ICA algorithm to noise reduction. Through simulation experiments, it can be obtained that the best decomposition levels of the new algorithm is 3. At last, the proposed improved ICA is applied to deal with the actual seismic data. The results show that it can effectively eliminate most of seismic noise such as random noise, linear interference, surface waves, and so on. The improved ICA is not only easy to denoising, but also has excellent mathematical theoretical properties. 展开更多
关键词 SEISMIC data improved ICA WAVELET transform DENOISING
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Practical implementation of Hilbert-Huang Transform algorithm 被引量:35
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作者 黄大吉 赵进平 苏纪兰 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2003年第1期1-14,共14页
Hilbert-Huang Transform (HHT) is a newly developed powerful method for nonlinear and non-stationary time series analysis. The empirical mode decomposition is the key part of HHT, while its algorithm was protected by N... Hilbert-Huang Transform (HHT) is a newly developed powerful method for nonlinear and non-stationary time series analysis. The empirical mode decomposition is the key part of HHT, while its algorithm was protected by NASA as a US patent, which limits the wide application among the scientific community. Two approaches, mirror periodic and extrema extending methods, have been developed for handling the end effects of empirical mode decomposition. The implementation of the HHT is realized in detail to widen the application. The detailed comparison of the results from two methods with that from Huang et al. (1998, 1999), and the comparison between two methods are presented. Generally, both methods reproduce faithful results as those of Huang et al. For mirror periodic method (MPM), the data are extended once forever. Ideally, it is a way for handling the end effects of the HHT, especially for the signal that has symmetric waveform. The extrema extending method (EEM) behaves as good as MPM, and it is better than MPM for the signal that has strong asymmetric waveform. However, it has to perform extrema envelope extending in every shifting process. 展开更多
关键词 hilbert-huang transform (HHT) signal processing Empirical Mode Decomposition (EMD)
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AE waveform characteristics of rock mass under uniaxial loading based on Hilbert-Huang transform 被引量:11
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作者 LI Xue-long CHEN Shao-jie +1 位作者 LIU Shu-min LI Zhong-hui 《Journal of Central South University》 SCIE EI CAS CSCD 2021年第6期1843-1856,共14页
Acoustic Emission(AE)waveforms contain information on microscopic structural features that can be related with damage of coal rock masses.In this paper,the Hilbert-Huang transform(HHT)method is used to obtain detailed... Acoustic Emission(AE)waveforms contain information on microscopic structural features that can be related with damage of coal rock masses.In this paper,the Hilbert-Huang transform(HHT)method is used to obtain detailed structural characteristics of coal rock masses associated with damage,at different loading stages,from the analyses of the characteristics of AE waveforms.The results show that the HHT method can be used to decompose the target waveform into multiple intrinsic mode function(IMF)components,with the energy mainly concentrated in the c1−c4 IMF components,where the c1 component has the highest frequency and the largest amount of energy.As the loading continues,the proportion of energy occupied by the low-frequency IMF component shows an increasing trend.In the initial compaction stage,the Hilbert marginal spectrum is mainly concentrated in the low frequency range of 0−40 kHz.The plastic deformation stage is associated to energy accumulation in the frequency range of 0−25 kHz and 200−350 kHz,while the instability damage stage is mainly concentrated in the frequency range of 0−25 kHz.At 20 kHz,the instability damage reaches its maximum value.There is a relatively clear instantaneous energy peak at each stage,albeit being more distinct at the beginning and at the end of the compaction phase.Since the effective duration of the waveform is short,its resulting energy is small,and so there is a relatively high value from the instantaneous energy peak.The waveform lasts a relatively long time after the peak that coincides with failure,which is the period where the waveform reaches its maximum energy level.The Hilbert three-dimensional energy spectrum is generally zero in the region where the real energy is zero.In addition,its energy spectrum is intermittent rather than continuous.It is therefore consistent with the characteristics of the several dynamic ranges mentioned above,and it indicates more clearly the low-frequency energy concentration in the critical stage of instability failure.This study well reflects the response law of geophysical signals in the process of coal rock instability and failure,providing a basis for monitoring coal rock dynamic disasters. 展开更多
关键词 acoustic emission WAVEFORM hilbert-huang transform coal rock
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Structural modal parameter identifi cation and damage diagnosis based on Hilbert-Huang transform 被引量:15
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作者 Han Jianping Zheng Peijuan Wang Hongtao 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2014年第1期101-111,共11页
Traditional modal parameter identifi cation methods have many disadvantages,especially when used for processing nonlinear and non-stationary signals.In addition,they are usually not able to accurately identify the dam... Traditional modal parameter identifi cation methods have many disadvantages,especially when used for processing nonlinear and non-stationary signals.In addition,they are usually not able to accurately identify the damping ratio and damage.In this study,methods based on the Hilbert-Huang transform(HHT) are investigated for structural modal parameter identifi cation and damage diagnosis.First,mirror extension and prediction via a radial basis function(RBF) neural network are used to restrain the troublesome end-effect issue in empirical mode decomposition(EMD),which is a crucial part of HHT.Then,the approaches based on HHT combined with other techniques,such as the random decrement technique(RDT),natural excitation technique(NExT) and stochastic subspace identifi cation(SSI),are proposed to identify modal parameters of structures.Furthermore,a damage diagnosis method based on the HHT is also proposed.Time-varying instantaneous frequency and instantaneous energy are used to identify the damage evolution of the structure.The relative amplitude of the Hilbert marginal spectrum is used to identify the damage location of the structure.Finally,acceleration records at gauge points from shaking table testing of a 12-story reinforced concrete frame model are taken to validate the proposed approaches.The results show that the proposed approaches based on HHT for modal parameter identifi cation and damage diagnosis are reliable and practical. 展开更多
关键词 modal parameter identifi cation damage diagnosis hilbert-huang transform natural excitation technique stochastic subspace identifi cation random decrement method shaking table test
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