Sensor placement for on-orbit modal identification and correlation of large space structures

Kammer, Daniel C.

doi:10.2514/3.20635

Cited by 721 publications

(337 citation statements)

References 11 publications

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“…Also an integrated methodology [8] has also been introduced by Pelin Gundes Bakir for efficient sensor placement and robustness of each technique is also presented and the Effective Independence method (EFI) was concluded as the best method. Kammer proposed a technique called "Effective Independence (EI) method" in which a number of candidate sensor positions were eliminated or added according to their ranks evaluated by the determinant of a Fisher Information Matrix (FIM) [9]. The relationship between the effective independence method and the modal kinetic energy method was presented by Li et al [10] and a quick computation of the effective independence method through QR downdating was introduced.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Damage Identification and Optimal Sensor Placement in Structural Health Monitoring by Genetic Algorithm Technique

Muthuraman¹,

Hashita²,

Sakthieswaran³

et al. 2016

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Civil engineering structures are constructed for strength, serviceability and durability. The structures thus constructed involve huge investment and labour work. In order to protect the structure from various damages, periodic monitoring of structures is necessary. Hence Structural Health Monitoring (SHM) plays a vital role in diagnosing the state of the structure at every moment during its life period. For this purpose, sensors are deployed in the structures for its efficient health monitoring. Sensors cannot be deployed at random locations of the structure. They have to be located at those points which reflect the damage. In this study, a 3-storey and a 4-storey building are taken and Modal Strain Energy (MSE) is used for finding the initial locations of sensors. The number of sensors obtained is then optimized using Genetic Algorithm (GA) technique. Finally damages are induced in certain locations of the structure and a damage detection technique called as "Flexibility Matrix Based Technique (FMBT)" is introduced for damage localization in the structure.

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Section: Introductionmentioning

confidence: 99%

An Approach for Damage Identification and Optimal Sensor Placement in Structural Health Monitoring by Genetic Algorithm Technique

Muthuraman¹,

Hashita²,

Sakthieswaran³

et al. 2016

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“…Those in the second class are developed to select the best locations for sensors to indicate the onset and progress of structural damage to enable evaluation of the safety and reliability of the structure. The method based on the effective independence algorithm is well known (Kammer, 1991). This method aims to make the mode shapes as linearly independent as possible by minimizing the norm of the Fisher information matrix and selecting measurement locations to maximize the information about the modal responses of the data.…”

Section: Introductionmentioning

confidence: 99%

Optimal sensor placement for space modal identification of crane structures based on an improved harmony search algorithm

Jin

Xia

Wang

2015

J. Zhejiang Univ. Sci. A

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Abstract:The problem of optimal sensor placement plays a key role in the success of structural health monitoring (SHM) systems. In this study, a new method is presented to investigate the optimization problem of sensor placement on gantry crane structures. The method is a combination of an improved harmony search (HS) algorithm and the modal assurance criterion (MAC). Firstly, we review previous studies on setting reasonable values for HS parameters that have the most impact on the result, and highlight the lack of general rules governing this aspect. Based on more efficient HS algorithms resulting from those studies, we apply our proposed technique to the optimization problem of sensor placement on gantry crane structures. The purpose of the optimization method is to select the optimal sensor locations on gantry crane girders to establish a sensor network for an SHM system. Our results show that the HS algorithm is a powerful search and optimization technique that can lead to a better solution to the problem of engineering optimization. The mode of a crane structure could be identified more easily when different mode shape orientations are considered comprehensively.

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“…This work concentrates on optimal sensor placement design methods for modal identification based on information theory. In the past, notable contributions to the sensor placement problem for modal identification have been provided by the effective indepen-E dence (EFI) method [8] for uniaxial and triaxial sensors [9,10] . Information theory measures, based on scalar measures of the Fisher information matrix (FIM) [11,12] and on information entropy [13][14][15] , proposed in the past for structural parameter estimation problems, have been extended to be used for modal identification [16] as well.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Concrete with Self-x Capabilities for Smart Cities

Wang

Han

et al. 2017

J Smart Cities

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A Bayesian optimal experimental design (OED) method is proposed in this work for estimating the best locations of sensors in structures so that the measured data are most informative for estimating reliably the structural modes. The information contained in the data is measured by the Kullback-Leibler (K-L) divergence between the prior and posterior distribution of the model parameters taken in modal identification to be the modal coordinates. The optimal sensor placement that maximizes the expected K-L divergence is shown also to minimize the information entropy of the posterior distribution. Unidentifiability issues observed in existing formulations when the number of sensors is less than the number of identified modes, are resolved using a non-uniform prior in the Bayesian OED. An insightful analysis is presented that demonstrates the effect of the variances of Bayesian priors on the optimal design. For dense mesh finite element models, sensor clustering phenomena are avoided by integrating in the methodology spatially correlated prediction error models. A heuristic forward sequential sensor placement algorithm and a stochastic optimization algorithm are used to solve the optimization problem in the continuous physical domain of variation of the sensor locations. The theoretical developments and algorithms are applied for the optimal sensor placement design along the deck of a 537 m concrete bridge.

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Sensor placement for on-orbit modal identification and correlation of large space structures

Cited by 721 publications

References 11 publications

An Approach for Damage Identification and Optimal Sensor Placement in Structural Health Monitoring by Genetic Algorithm Technique

An Approach for Damage Identification and Optimal Sensor Placement in Structural Health Monitoring by Genetic Algorithm Technique

Optimal sensor placement for space modal identification of crane structures based on an improved harmony search algorithm

Intelligent Concrete with Self-x Capabilities for Smart Cities

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