TY - JOUR
T1 - Optimal sensor placement of triaxial accelerometers for modal expansion
AU - Nieminen, Vesa
AU - Sopanen, Jussi
N1 - Funding Information:
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Vesa Nieminen reports financial support was provided by Business Finland.
Funding Information:
This work was supported by Business Finland Digibuzz Project under Grant 4437/31/2019.
Publisher Copyright:
© 2022 The Authors
PY - 2023/2/1
Y1 - 2023/2/1
N2 - Sensor placement is a vital factor affecting the quality and accuracy of virtual sensing. Modal expansion techniques are well-known methods to expand the measured displacements or accelerations to all unmeasured degrees of freedom. For this purpose, a two-phase sensor placement optimisation method is proposed for commonly used triaxial accelerometers. The method uses minimum variance criterion of an estimation error of structural responses. A measure of redundancy of information is introduced as an additional criterion for the placement of the triaxial sensors to minimise the redundancy between the sensors. This was addressed to avoid spatial correlation and clustering of the sensor locations. In addition, a proposal for modal displacement-based weighting is introduced to avoid potential selection of sensor locations with low vibration energy, which can be critical in noisy environments. The efficiency of the proposed method is verified with numerical models of different types of structures and finally with the laboratory scale experiments. The mean error of the reconstructed response in this particular experimental case study was 1.4% of the maximum measured response amplitude. This method is especially applicable to large finite element models of industrial-scale structures with fine meshes.
AB - Sensor placement is a vital factor affecting the quality and accuracy of virtual sensing. Modal expansion techniques are well-known methods to expand the measured displacements or accelerations to all unmeasured degrees of freedom. For this purpose, a two-phase sensor placement optimisation method is proposed for commonly used triaxial accelerometers. The method uses minimum variance criterion of an estimation error of structural responses. A measure of redundancy of information is introduced as an additional criterion for the placement of the triaxial sensors to minimise the redundancy between the sensors. This was addressed to avoid spatial correlation and clustering of the sensor locations. In addition, a proposal for modal displacement-based weighting is introduced to avoid potential selection of sensor locations with low vibration energy, which can be critical in noisy environments. The efficiency of the proposed method is verified with numerical models of different types of structures and finally with the laboratory scale experiments. The mean error of the reconstructed response in this particular experimental case study was 1.4% of the maximum measured response amplitude. This method is especially applicable to large finite element models of industrial-scale structures with fine meshes.
KW - Information redundancy
KW - Optimal sensor placement
KW - Structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=85136475352&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2022.109581
DO - 10.1016/j.ymssp.2022.109581
M3 - Article
AN - SCOPUS:85136475352
SN - 0888-3270
VL - 184
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
M1 - 109581
ER -