Empirical mode decomposition (EMD) is proposed to identify linear structure under non-stationary excitation,and non-white noise coefficient is introduced under the assumption of random signals consisting of white nois...Empirical mode decomposition (EMD) is proposed to identify linear structure under non-stationary excitation,and non-white noise coefficient is introduced under the assumption of random signals consisting of white noise and non-white noise signals. The cross-correlation function of response signal is decomposed into mode functions and residue by EMD method. The identification technique of the modal parameters of single freedom degree is applied to each mode function to obtain natural frequencies, damping ratios and mode shapes. The results of identification of the five-degree freedom linear system demonstrate that the proposed method is effective in identifying the parameters of linear structures under non-stationary ambient excitation.展开更多
The ancient Chinese people had developed, on the relationship between the human body, disease and the environment, a variety of explanatory models. ＂From the disease caused by insects＂, the theoretical resources bui...The ancient Chinese people had developed, on the relationship between the human body, disease and the environment, a variety of explanatory models. ＂From the disease caused by insects＂, the theoretical resources built one of the concepts of disease of the Chinese people in the Late Qing Dynasty. From the middle of the nineteenth century, the pathogenicity of bacteria was not only born in the West, but also translated into China through various channels. When China＇s ＂insects＂ and ＂mushroom＂ encountered the Western bacterial pathogenicity, ＂insects＂ and ＂mushroom＂ have become the concept of access to the knowledge base of bacteria. Xi Jun （,~11]~） is one of the many new nouns born in the late Qing Dynasty. China often uses ＂bi ta li ya＂ （~d^J~]~） and other transliteration, such as microbial, mold and other names for translation. Behind the translated name, the complex and diverse knowledge of the people at that time are reflected, showing a reasonable imagination of flying insects in the wind.展开更多
With a new projective equation, a series of solutions of the （2-J-1）-dimensional dispersive long-water wave system （LWW） is derived. Based on the derived solitary wave solution, we obtain some special fractal loca...With a new projective equation, a series of solutions of the （2-J-1）-dimensional dispersive long-water wave system （LWW） is derived. Based on the derived solitary wave solution, we obtain some special fractal localized structures and chaotic patterns.展开更多
This article through to new embedded geriatric rehabilitation care development present situation, pointed out that in the popularization of its restriction factors, and then asked a further analysis of various factors...This article through to new embedded geriatric rehabilitation care development present situation, pointed out that in the popularization of its restriction factors, and then asked a further analysis of various factors, constructed the obstacle factors explanation structure model （ISM）.According to the result of classification model and find out the problem, the most direct factors and put forward the corresponding Suggestions, facilities for embedded geriatric rehabilitation nursing mode to find out the key points of development, provide a reference value to scientific basis.展开更多
Structural health monitoring (SHM) is a relevant topic for civil systems and involves the monitoring, data processing and interpretation to evaluate the condition of a structure, in order to detect damage. In real str...Structural health monitoring (SHM) is a relevant topic for civil systems and involves the monitoring, data processing and interpretation to evaluate the condition of a structure, in order to detect damage. In real structures, two or more sites or types of damage can be present at the same time. It has been shown that one kind of damaged condition can interfere with the detection of another kind of damage, leading to an incorrect assessment about the structure condition. Identifying combined damage on structures still represents a challenge for condition monitoring, because the reliable identification of a combined damaged condition is a difficult task. Thus, this work presents a fusion of methodologies, where a single wavelet-packet and the empirical mode decomposition (EMD) method are combined with artificial neural networks (ANNs) for the automated and online identification-location of single or multiple-combined damage in a scaled model of a five-bay truss-type structure. Results showed that the proposed methodology is very efficient and reliable for identifying and locating the three kinds of damage, as well as their combinations. Therefore, this methodology could be applied to detection-location of damage in real truss-type structures, which would help to improve the characteristics and life span of real structures.展开更多
基金National Natural Science Foundation(No.19972016)for partly supporting this work
文摘Empirical mode decomposition (EMD) is proposed to identify linear structure under non-stationary excitation,and non-white noise coefficient is introduced under the assumption of random signals consisting of white noise and non-white noise signals. The cross-correlation function of response signal is decomposed into mode functions and residue by EMD method. The identification technique of the modal parameters of single freedom degree is applied to each mode function to obtain natural frequencies, damping ratios and mode shapes. The results of identification of the five-degree freedom linear system demonstrate that the proposed method is effective in identifying the parameters of linear structures under non-stationary ambient excitation.
基金This paper is sponsored by the Beijing YuRun Foundation （北京玉润公益基金会）.
文摘The ancient Chinese people had developed, on the relationship between the human body, disease and the environment, a variety of explanatory models. ＂From the disease caused by insects＂, the theoretical resources built one of the concepts of disease of the Chinese people in the Late Qing Dynasty. From the middle of the nineteenth century, the pathogenicity of bacteria was not only born in the West, but also translated into China through various channels. When China＇s ＂insects＂ and ＂mushroom＂ encountered the Western bacterial pathogenicity, ＂insects＂ and ＂mushroom＂ have become the concept of access to the knowledge base of bacteria. Xi Jun （,~11]~） is one of the many new nouns born in the late Qing Dynasty. China often uses ＂bi ta li ya＂ （~d^J~]~） and other transliteration, such as microbial, mold and other names for translation. Behind the translated name, the complex and diverse knowledge of the people at that time are reflected, showing a reasonable imagination of flying insects in the wind.
基金Supported by the Natural Science Foundation of Zhejiang Province under Grant Nos.Y604106, Y606128the Scientific Research Fund of Zhejiang Provincial Education Department of China under Grant No.20070568the Natural Science Foundation of Zhejiang Lishui University under Grant No.KY08003
文摘With a new projective equation, a series of solutions of the （2-J-1）-dimensional dispersive long-water wave system （LWW） is derived. Based on the derived solitary wave solution, we obtain some special fractal localized structures and chaotic patterns.
文摘This article through to new embedded geriatric rehabilitation care development present situation, pointed out that in the popularization of its restriction factors, and then asked a further analysis of various factors, constructed the obstacle factors explanation structure model （ISM）.According to the result of classification model and find out the problem, the most direct factors and put forward the corresponding Suggestions, facilities for embedded geriatric rehabilitation nursing mode to find out the key points of development, provide a reference value to scientific basis.
基金Project (No. PIFI-2012 U. de Gto.) supported by the Secretariat of Public Education (SEP), Mexico
文摘Structural health monitoring (SHM) is a relevant topic for civil systems and involves the monitoring, data processing and interpretation to evaluate the condition of a structure, in order to detect damage. In real structures, two or more sites or types of damage can be present at the same time. It has been shown that one kind of damaged condition can interfere with the detection of another kind of damage, leading to an incorrect assessment about the structure condition. Identifying combined damage on structures still represents a challenge for condition monitoring, because the reliable identification of a combined damaged condition is a difficult task. Thus, this work presents a fusion of methodologies, where a single wavelet-packet and the empirical mode decomposition (EMD) method are combined with artificial neural networks (ANNs) for the automated and online identification-location of single or multiple-combined damage in a scaled model of a five-bay truss-type structure. Results showed that the proposed methodology is very efficient and reliable for identifying and locating the three kinds of damage, as well as their combinations. Therefore, this methodology could be applied to detection-location of damage in real truss-type structures, which would help to improve the characteristics and life span of real structures.
