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RISS 인기검색어
- 검색키워드
- 저자 : Chuanzhi Chen (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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Fei Lin,Chuanzhi Chen,Jinbao Chen,Meng Chen 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.3
The primary objective of this work is to present a three-dimensional (3D) clearance model of the paired bearings support joint (PBS-joint) and address the influence of PBSjoint clearance on the accuracy of the spatial multi-loop mechanism. Through the synthetic use of the vector and homogeneous coordinate transformation methods, the 3D clearance model of the PBS-joint is obtained on the basis of the static balance condition. When clearance is equated as a spatial virtual link, the error space solution models of serial mechanism and single-loop mechanism are developed respectively according to the Denavit-Hartenberg method and the geometric closure condition. The error space standardization solution model of the multi-loop mechanism is then presented through improving the low-layer loop sequence description method of the topological structure relations. Finally, the application in the basic loop mechanism is demonstrated to discuss the procedures adopted in this work and the influence of the PBS-joint clearance. Results show that the PBS-joint clearance may cause the error on the point with a 3D deviation transmission path to deviate the normal distribution. Moreover, the plane-joint clearance model may not yield an accurate analysis of the spatial mechanism.
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Dimensional Synthesis of Antenna-Deployable Support Structure
Fei Lin,Chuanzhi Chen,Jinbao Chen,Meng Chen 한국항공우주학회 2020 International Journal of Aeronautical and Space Sc Vol.21 No.2
To improve the deployment stability and drive efficiency, the dimensional synthesis of antenna deployable support structure is addressed. First, to evaluate the deployment stability, the transmission ratio stability index (TRSI) is designed based on Jacobian matrix. Second, the motion/force transmissibility is used to analyse the drive efficiency. A sub-closed-loop analysis method (SAM) is proposed to analyse the local motion/force transmissibility of the parallel mechanism whose sub-closed-loop contains actuator (PMSCA). An improved global transmission index (IGTI) is proposed to analyse the global motion/force transmissibility for the mechanism without good transmission workspace (GTW). Finally, based on TRSI and IGTI, the dimensional parameter optimization model of the deployable support structure is established and a configuration with better comprehensive performance is obtained. Results show that the designed indexes in this paper can be useful for indicating the stability of transmission ratio and the global motion/force transmissibility of the structure.
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Emergent damage pattern recognition using immune network theory
Chen, Bo,Zang, Chuanzhi Techno-Press 2011 Smart Structures and Systems, An International Jou Vol.8 No.1
This paper presents an emergent pattern recognition approach based on the immune network theory and hierarchical clustering algorithms. The immune network allows its components to change and learn patterns by changing the strength of connections between individual components. The presented immune-network-based approach achieves emergent pattern recognition by dynamically generating an internal image for the input data patterns. The members (feature vectors for each data pattern) of the internal image are produced by an immune network model to form a network of antibody memory cells. To classify antibody memory cells to different data patterns, hierarchical clustering algorithms are used to create an antibody memory cell clustering. In addition, evaluation graphs and L method are used to determine the best number of clusters for the antibody memory cell clustering. The presented immune-network-based emergent pattern recognition (INEPR) algorithm can automatically generate an internal image mapping to the input data patterns without the need of specifying the number of patterns in advance. The INEPR algorithm has been tested using a benchmark civil structure. The test results show that the INEPR algorithm is able to recognize new structural damage patterns.
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Emergent damage pattern recognition using immune network theory
Bo Chen,Chuanzhi Zang 국제구조공학회 2011 Smart Structures and Systems, An International Jou Vol.8 No.1
This paper presents an emergent pattern recognition approach based on the immune network theory and hierarchical clustering algorithms. The immune network allows its components to change and learn patterns by changing the strength of connections between individual components. The presented immunenetwork- based approach achieves emergent pattern recognition by dynamically generating an internal image for the input data patterns. The members (feature vectors for each data pattern) of the internal image are produced by an immune network model to form a network of antibody memory cells. To classify antibody memory cells to different data patterns, hierarchical clustering algorithms are used to create an antibody memory cell clustering. In addition, evaluation graphs and L method are used to determine the best number of clusters for the antibody memory cell clustering. The presented immune-network-based emergent pattern recognition (INEPR) algorithm can automatically generate an internal image mapping to the input data patterns without the need of specifying the number of patterns in advance. The INEPR algorithm has been tested using a benchmark civil structure. The test results show that the INEPR algorithm is able to recognize new structural damage patterns.
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