Examination of Sensor Distribution Schemes for Vibration Estimation

Emil Kronborg Andersen, Mathias Wriedt Pedersen, Martin Dalgaard Ulriksen, Lars Damkilde

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

The general outset in vibration analysis is that a sensor distribution is optimal if the utility of the deployed system is maximized; with system referring to, for example, an identification system if the sensors are deployed to facilitate modal parameter estimation or a monitoring system if damage detection is the target. While numerous studies have been presented in the context of system identification and structural health monitoring, few studies have addressed the sensor placement task for vibration estimation (also known as virtual sensing). Therefore, the present paper offers an examination of this by adapting four schemes---developed and widely used for optimal sensor placement in system identification and structural health monitoring---for placing sensors to estimate unmeasured vibrations from a limited number of output sensors. More specifically, we test the performance of the effective independence (EI) method, the driving point residue (DPR) method, a combination of the two (the EI-DPR method), and the kinetic energy (KE) method in the context of estimating unmeasured vibrations of a structural system of engineering interest.
Original languageEnglish
Title of host publication9th ECCOMAS Thematic Conference on Smart Structures and Materials
Publication date2019
Publication statusPublished - 2019
Event9th ECCOMAS Thematic Conference on Smart Structures and Materials - Arts et Métiers - Ensam (Paris Campus), paris, France
Duration: 8 Jul 201911 Jul 2019
Conference number: 9
http://congress.cimne.com/smart2019/frontal/default.asp

Conference

Conference9th ECCOMAS Thematic Conference on Smart Structures and Materials
Number9
LocationArts et Métiers - Ensam (Paris Campus)
CountryFrance
Cityparis
Period08/07/201911/07/2019
Internet address

Cite this

Andersen, E. K., Pedersen, M. W., Ulriksen, M. D., & Damkilde, L. (2019). Examination of Sensor Distribution Schemes for Vibration Estimation. In 9th ECCOMAS Thematic Conference on Smart Structures and Materials
Andersen, Emil Kronborg ; Pedersen, Mathias Wriedt ; Ulriksen, Martin Dalgaard ; Damkilde, Lars. / Examination of Sensor Distribution Schemes for Vibration Estimation. 9th ECCOMAS Thematic Conference on Smart Structures and Materials. 2019.
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title = "Examination of Sensor Distribution Schemes for Vibration Estimation",
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Andersen, EK, Pedersen, MW, Ulriksen, MD & Damkilde, L 2019, Examination of Sensor Distribution Schemes for Vibration Estimation. in 9th ECCOMAS Thematic Conference on Smart Structures and Materials. 9th ECCOMAS Thematic Conference on Smart Structures and Materials, paris, France, 08/07/2019.

Examination of Sensor Distribution Schemes for Vibration Estimation. / Andersen, Emil Kronborg; Pedersen, Mathias Wriedt; Ulriksen, Martin Dalgaard; Damkilde, Lars.

9th ECCOMAS Thematic Conference on Smart Structures and Materials. 2019.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Examination of Sensor Distribution Schemes for Vibration Estimation

AU - Andersen, Emil Kronborg

AU - Pedersen, Mathias Wriedt

AU - Ulriksen, Martin Dalgaard

AU - Damkilde, Lars

PY - 2019

Y1 - 2019

N2 - The general outset in vibration analysis is that a sensor distribution is optimal if the utility of the deployed system is maximized; with system referring to, for example, an identification system if the sensors are deployed to facilitate modal parameter estimation or a monitoring system if damage detection is the target. While numerous studies have been presented in the context of system identification and structural health monitoring, few studies have addressed the sensor placement task for vibration estimation (also known as virtual sensing). Therefore, the present paper offers an examination of this by adapting four schemes---developed and widely used for optimal sensor placement in system identification and structural health monitoring---for placing sensors to estimate unmeasured vibrations from a limited number of output sensors. More specifically, we test the performance of the effective independence (EI) method, the driving point residue (DPR) method, a combination of the two (the EI-DPR method), and the kinetic energy (KE) method in the context of estimating unmeasured vibrations of a structural system of engineering interest.

AB - The general outset in vibration analysis is that a sensor distribution is optimal if the utility of the deployed system is maximized; with system referring to, for example, an identification system if the sensors are deployed to facilitate modal parameter estimation or a monitoring system if damage detection is the target. While numerous studies have been presented in the context of system identification and structural health monitoring, few studies have addressed the sensor placement task for vibration estimation (also known as virtual sensing). Therefore, the present paper offers an examination of this by adapting four schemes---developed and widely used for optimal sensor placement in system identification and structural health monitoring---for placing sensors to estimate unmeasured vibrations from a limited number of output sensors. More specifically, we test the performance of the effective independence (EI) method, the driving point residue (DPR) method, a combination of the two (the EI-DPR method), and the kinetic energy (KE) method in the context of estimating unmeasured vibrations of a structural system of engineering interest.

M3 - Article in proceeding

BT - 9th ECCOMAS Thematic Conference on Smart Structures and Materials

ER -

Andersen EK, Pedersen MW, Ulriksen MD, Damkilde L. Examination of Sensor Distribution Schemes for Vibration Estimation. In 9th ECCOMAS Thematic Conference on Smart Structures and Materials. 2019