scholarly journals Probabilistic Sensing Model for Sensor Placement Optimization Based on Line-of-Sight Coverage

2013 ◽  
Vol 62 (2) ◽  
pp. 293-303 ◽  
Author(s):  
Vahab Akbarzadeh ◽  
Christian Gagne ◽  
Marc Parizeau ◽  
Meysam Argany ◽  
Mir Abolfazl Mostafavi
Keyword(s):  
Sensor Placement ◽  
Line Of Sight ◽  
Placement Optimization ◽  
Sensor Placement Optimization ◽  
Sensing Model ◽  
On Line ◽  
Probabilistic Sensing Model

Health monitoring sensor placement optimization based on initial sensor layout using improved partheno-genetic algorithm

2020 ◽  
pp. 136943322094719
Author(s):  
Xianrong Qin ◽  
Pengming Zhan ◽  
Chuanqiang Yu ◽  
Qing Zhang ◽  
Yuantao Sun
Keyword(s):  
Genetic Algorithm ◽  
Health Monitoring ◽  
Large Scale ◽  
Complex Structure ◽  
Sensor Placement ◽  
Placement Problem ◽  
Optimal Sensor Placement ◽  
Placement Optimization ◽  
Sensor Placement Optimization ◽  
Sensor Locations

Optimal sensor placement is an important component of a reliability structural health monitoring system for a large-scale complex structure. However, the current research mainly focuses on optimizing sensor placement problem for structures without any initial sensor layout. In some cases, the experienced engineers will first determine the key position of whole structure must place sensors, that is, initial sensor layout. Moreover, current genetic algorithm or partheno-genetic algorithm will change the position of the initial sensor locations in the iterative process, so it is unadaptable for optimal sensor placement problem based on initial sensor layout. In this article, an optimal sensor placement method based on initial sensor layout using improved partheno-genetic algorithm is proposed. First, some improved genetic operations of partheno-genetic algorithm for sensor placement optimization with initial sensor layout are presented, such as segmented swap, reverse and insert operator to avoid the change of initial sensor locations. Then, the objective function for optimal sensor placement problem is presented based on modal assurance criterion, modal energy criterion, and sensor placement cost. At last, the effectiveness and reliability of the proposed method are validated by a numerical example of a quayside container crane. Furthermore, the sensor placement result with the proposed method is better than that with effective independence method without initial sensor layout and the traditional partheno-genetic algorithm.

A multiobjective sensor placement optimization for SHM systems considering Fisher information matrix and mode shape interpolation

2018 ◽  
Vol 35 (2) ◽  
pp. 519-535 ◽  
Author(s):  
Guilherme Ferreira Gomes ◽  
Fabricio Alves de Almeida ◽  
Patricia da Silva Lopes Alexandrino ◽  
Sebastiao Simões da Cunha ◽  
Bruno Silva de Sousa ◽  
...  
Keyword(s):  
Fisher Information ◽  
Mode Shape ◽  
Fisher Information Matrix ◽  
Information Matrix ◽  
Sensor Placement ◽  
Placement Optimization ◽  
Sensor Placement Optimization ◽  
Shape Interpolation
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