Optimal Sensor Placement Based on Relaxation Sequential Algorithm

被引：0
|
作者：
Yin, Hong [1 ]
Dong, Kangli [1 ]
Pan, An [1 ]
Peng, Zhenrui [1 ]
Jiang, Zhaoyuan [1 ]
Li, Shaoyuan [2 ]
机构：
[1] Lanzhou Jiaotong Univ, Sch Mechatron Engn, Lanzhou, Gansu, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai, Peoples R China
来源：
INTELLIGENT COMPUTING, NETWORKED CONTROL, AND THEIR ENGINEERING APPLICATIONS, PT II | 2017年 / 762卷
基金：
中国国家自然科学基金;
关键词：
Relaxation sequential algorithm; Optimal sensor placement; Modal assurance criterion; MODAL IDENTIFICATION; OPTIMIZATION;
D O I：
10.1007/978-981-10-6373-2_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Relaxation sequential algorithm for optimal sensor placement is proposed by introducing the idea of edge relaxation operation of Dijkstra's algorithm. An initial solution set is generated by sequential algorithm, and is improved by relaxation till the relaxation operation terminates. The proposed algorithm takes modal assurance criterion (MAC) matrix as the object fitness function. A truss structure is applied as examples to verify the effectiveness of the new algorithm for optimal sensor placement.
引用
收藏
页码：125 / 134
页数：10
相关论文
共 50 条
  • [1] Optimal sensor placement based on relaxation sequential algorithm
    Yin, Hong
    Dong, Kangli
    Pan, An
    Peng, Zhenrui
    Jiang, Zhaoyuan
    Li, Shaoyuan
    [J]. NEUROCOMPUTING, 2019, 344 : 28 - 36
  • [2] Sensor placement for RSSD-based localization: Optimal angular placement and sequential sensor placement
    Heydari, Ali
    Aghabozorgi, Masoud-Reza
    [J]. PHYSICAL COMMUNICATION, 2020, 42
  • [3] Optimal sensor placement based on adaptive monkey algorithm
    Yi, Ting-Hua
    Zhang, Xu-Dong
    Li, Hong-Nan
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2013, 32 (23): : 57 - 63
  • [4] Optimal Sensor Placement Method Based on IMBPSO Algorithm
    Qi Ziyuan
    Fang Liqing
    Zhang Yangyang
    Li Yanan
    Jia Mengshan
    [J]. INTERNATIONAL CONFERENCE ON SENSORS AND INSTRUMENTS (ICSI 2021), 2021, 11887
  • [5] Sensor Optimal Placement Based on Single Parents Genetic Algorithm
    Wu, Chunli
    Qin, Xuxi
    Gu, Zhengwei
    Liu, Ziyu
    [J]. 2017 IEEE 7TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2017, : 1544 - 1547
  • [6] GRADIENT-BASED ALGORITHM WITH SPATIAL REGULARIZATION FOR OPTIMAL SENSOR PLACEMENT
    Ghayem, Fateme
    Rivet, Bertrand
    Jutten, Christian
    Farias, Rodrigo Cabral
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 5655 - 5659
  • [7] A novel optimal sensor node placement based on quantum genetic algorithm
    Zheng Shijue
    Chen Xiaoyan
    Gamage, Shanthi
    Pei Yanli
    Zheng Zhenghua
    Li Kai
    [J]. ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, PROCEEDINGS, 2007, : 275 - 277
  • [8] Optimal sensor placement based on Fuzzy C-means clustering algorithm
    Yin, Hong
    Zhang, Ying
    Peng, Zhenrui
    [J]. 2018 INTERNATIONAL CONFERENCE ON SENSOR NETWORKS AND SIGNAL PROCESSING (SNSP 2018), 2018, : 92 - 98
  • [9] Optimal sensor placement algorithm for structural damage identification
    Department of Civil Engineering, Shaoxing University, Shaoxing
    312000, China
    [J]. Recent Pat. Eng., 2020, 1 (69-81):
  • [10] AN ALGORITHM FOR NEAR-OPTIMAL PLACEMENT OF SENSOR ELEMENTS
    PEARSON, D
    PILLAI, SU
    LEE, YJ
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1990, 36 (06) : 1280 - 1284
12345