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基于随机减量技术的模态参数识别方法探讨 被引量:10
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作者 聂雪媛 丁桦 《机械设计》 CSCD 北大核心 2012年第8期1-5,共5页
大型基础工程结构的特征参数识别通常是通过对环境载荷激励的结构响应进行分析来实现,随机减量(Random Decrement,RD)技术是环境激励下的模态参数识别方法中应用较广的方法。在实际应用中受环境、测量等条件的限制,信号常为含有某些优... 大型基础工程结构的特征参数识别通常是通过对环境载荷激励的结构响应进行分析来实现,随机减量(Random Decrement,RD)技术是环境激励下的模态参数识别方法中应用较广的方法。在实际应用中受环境、测量等条件的限制,信号常为含有某些优势频率的非平稳信号,常常导致随机减量技术在识别结构参数尤其是系统阻尼时带来较大误差。为提高随机减量技术在环境激励作用下识别结构参数的准确性,文中从分析随机减量信号频谱中的频率分布特性入手,结合随机减量函数产生的触发条件,给出了一种利用信号频谱的统计特征进行模态参数识别的方法。数值仿真结果表明该函数能准确识别在含有优势频率环境载荷作用下的结构参数。 展开更多
关键词 环境激励 随机减量技术 特征参数识别 大型工程结构
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基于智能图像的纸张微小破损特征识别 被引量:3
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作者 康馨月 《造纸科学与技术》 2023年第4期30-34,共5页
微小破损特征参数的进一步明确对于改进造纸工艺、优化造纸生产参数等方面都具有十分重要的作用。在此背景下,研究一种基于智能图像的纸张微小破损特征识别方法。针对采集到的待识别纸张的图像,实施灰度化、去噪以及对比度增强处理。基... 微小破损特征参数的进一步明确对于改进造纸工艺、优化造纸生产参数等方面都具有十分重要的作用。在此背景下,研究一种基于智能图像的纸张微小破损特征识别方法。针对采集到的待识别纸张的图像,实施灰度化、去噪以及对比度增强处理。基于CNN检测破损纸张图像,寻找存在破损特征的纸张图像。从存在破损特征的纸张图像中分割出破损区域,得到纸张破损局部图像。采用Roberts算子检测破损边缘轮廓并计算破损特征参数,包括破损边缘轮廓长度、破损面积、圆形度、矩形度。结果表明:纸张破损检测结果与人工实际检测结果一致,说明卷积神经网络能够准确检测出存在破损的纸张;所研究方法计算出了每种破损类型的具体特征参数,实现了纸张微小破损特征识别研究。 展开更多
关键词 智能图像 纸张微小破损 破损特征 特征参数识别
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基于信号特征优先级的调制样式识别方法
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作者 何瑞珠 《通讯世界》 2021年第3期289-290,共2页
对信号的调制样式识别中,传统的识别方法主要是提取信号的专家特征,再基于所提取的特征参数进行判决与分类。当识别的信号种类较少时,可通过单个参数识别出某种信号,但是当信号种类较多时,很难通过某一个参数将某种调制样式从其他调制... 对信号的调制样式识别中,传统的识别方法主要是提取信号的专家特征,再基于所提取的特征参数进行判决与分类。当识别的信号种类较少时,可通过单个参数识别出某种信号,但是当信号种类较多时,很难通过某一个参数将某种调制样式从其他调制样式中识别出来,因此本文通过研究不同信号特征在信号识别过程中的先后顺序作为判定依据,设计基于信号特征优先级的调制样式识别流程,完成对BPSK、QPSK、pi/4DQPSK、16QAM、64QAM、MSK、2FSK、4FSK、2ASK、AM、FM、8PSK和SSB等13种不同调制样式的识别。 展开更多
关键词 调制样式 信号特征识别 特征参数识别 特征优先级
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Features of human skin in HSV color space and new recognition parameter 被引量:5
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作者 LU Yi-xing LIU Ying +3 位作者 GUO Yu KONG Li-tao CHANG Xiao-qi SHAN Xiao-you 《Optoelectronics Letters》 EI 2007年第4期312-314,共3页
Features of human skin in HSV color space are widely applied in the area of image retrieval based on content. H is selected as the basic recognition parameter because its value has a narrow range for the skin color an... Features of human skin in HSV color space are widely applied in the area of image retrieval based on content. H is selected as the basic recognition parameter because its value has a narrow range for the skin color and can keep stable while the illumination intensity or the curvature of skin surface is changing. Rules of parameters with the change of illumination in HSV color space are studied. It is firstly found that the mean of saturation and value (S+V)/2 can keep stable when the illumination intensity is changed or the skin surface is inflected, and (S+V)/2 changes with skin color, but the tendency of change is contrary to that of H. Therefore, (S+V)/H can be used as a new recognition parameter which can enhance HSV ability to recognize human skin. 展开更多
关键词 人类皮肤 特征 色彩空间 识别参数
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Operational Modal Analysis of a Ship Model in the Presence of Harmonic Excitation 被引量:1
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作者 Junchen Xu Ming Hong Xiaobing Liu 《Journal of Marine Science and Application》 2013年第1期38-44,共7页
A ship is operated under an extremely complex environment, and waves and winds are assumed to be the stochastic excitations. Moreover, the propeller, host and mechanical equipment can also induce the harmonic response... A ship is operated under an extremely complex environment, and waves and winds are assumed to be the stochastic excitations. Moreover, the propeller, host and mechanical equipment can also induce the harmonic responses. In order to reduce structural vibration, it is important to obtain the modal parameters information of a ship. However, the traditional modal parameter identification methods are not suitable since the excitation information is difficult to obtain. Natural excitation technique-eigensystem realization algorithm (NExT-ERA) is an operational modal identification method which abstracts modal parameters only from the response signals, and it is based on the assumption that the input to the structure is pure white noise. Hence, it is necessary to study the influence of harmonic excitations while applying the NExT-ERA method to a ship structure. The results of this research paper indicate the practical experiences under ambient excitation, ship model experiments were successfully done in the modal parameters identification only when the harmonic frequencies were not too close to the modal frequencies. 展开更多
关键词 natural excitation technique (NExT) eigensystem realization algorithm (ERA) ship structure harmonic excitation signal processing modal parameters identification ship model operational model analysis
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Experimental study of fatigue degree quantification for multi-feature fusion identification
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作者 孙伟 Zhu Jiandong +2 位作者 Zhang Xiaorui He Jun Zhang Weigong 《High Technology Letters》 EI CAS 2014年第2期146-153,共8页
A comprehensive quantification method of fatigue degree is proposed concerning subjective and objective quantifications.Using the fatigue degree test software,fatigue degree is objectively quantified by analyzing the ... A comprehensive quantification method of fatigue degree is proposed concerning subjective and objective quantifications.Using the fatigue degree test software,fatigue degree is objectively quantified by analyzing the reaction and operation abilities of drivers about traffic signals.By comparison experiment with that EEG signal based,multivariate statistical analysis and fusion identification based on BP neural network(BPNN) results show that the experimental procedure is simple and practical,and the proposed method can reveal the correlation between fatigue feature parameters and fatigue degree in theory,and also can achieve accurate and reliable quantification of fatigue degree,especially under the associated action of multiple fatigue feature parameters. 展开更多
关键词 fatigue driving fatigue degree quantification fusion identification experimental study
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