Optimal sensor placement based on relaxation sequential algorithm

Yin, Hong; Dong, Kangli; Pan, Anqi; Peng, Zhenrui; Zhao-yuan, Jiang; Li, Shaoyuan

doi:10.1016/j.neucom.2018.03.088

Cited by 14 publications

(8 citation statements)

References 18 publications

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“…Yin et al. [26] have proposed a novel relaxation sequential algorithm, a truss structure, and a rigid‐framed arch bridge applied as examples to verify the effectiveness of the new algorithm for optimal sensor placement.…”

Section: Introductionmentioning

confidence: 99%

“…Gomes et al [25] have proposed a method of multiobjective sensor locations optimization using the collected information by Fisher information matrix and mode shape interpolation. Yin et al [26] have proposed a novel relaxation sequential algorithm, a truss structure, and a rigid-framed arch bridge applied as examples to verify the effectiveness of the new algorithm for optimal sensor placement.…”

Section: Introductionmentioning

confidence: 99%

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Optimal sensor placement of bridge structure based on sensitivity‐effective independence method

Yang

et al. 2021

IET Circuits, Devices & Syst

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Taking the optimal sensor placement problem in bridge structural health monitoring as the study object and relying on the engineering example of a simply supported steel truss bridge, the improved optimal sensor placement method based on sensitivity-effective independence method was proposed. Using the sensitivity coefficient reflecting structural damage, the proposed method could modify the effective independence method reflecting the maximum linear independence. The proposed method further optimizes the sensor placement method. A method for selecting the number of models based on modal closeness was proposed and makes the selection of the number of modes more objective. The example analysis shows that evaluations using this method are effective for multiple evaluation criteria. The method ensures observability of the mode vector and identifiability of structural damage. It is an effective optimal sensor placement algorithm for the bridge structure.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal sensor placement of bridge structure based on sensitivity‐effective independence method

Yang

et al. 2021

IET Circuits, Devices & Syst

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“…Some efficient searching approaches have been proposed to resolve this problem. [35][36][37] The three major categories are (i) gradient-based optimization methods, (ii) combinatorial optimization methods, and (iii) sequential sensor placement methods. The gradient-based optimization methods can be used only for continuous optimization problems, for example, modeling a beam as a continuum.…”

mentioning

confidence: 99%

Robust sensor placement for structural identification

Yuen

Hao

Kuok

2021

Structural Contr & Hlth

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In this paper, we propose a robust sensor placement methodology, which takes into consideration of possible sensor failure encountered in sensory systems. Although the optimal sensor placement problem has been studied for decades, previous works assumed a fully functioned sensory network. In real practice, sensor failure is commonly encountered, and this may seriously degrade the performance of the sensor network. The proposed method considers the impact of sensor failure on the performance of the sensor configurations so that the designed configuration is robust against sensor failure. For this purpose, we define the robust information entropy to quantify the uncertainty of the identified model parameters with consideration of sensor failure. Furthermore, we propose a tailor-made heuristic sequential search algorithm to enhance the computational efficiency. The proposed methodology is illustrated by designing the robust sensor configuration for a 20-story shear building and a space truss. Moreover, a case study using the in-field measurements of the Canton Tower is presented to demonstrate the performance of the proposal methodology.

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“…Российский же стандарт более детально подходит к расположению контрольных точек для измерения температуры бетона [6]. Однако, как показывает мировой опыт [8,9] Результаты и обсуждение. Расположение устройства.…”

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“…Количество датчиков является техническим решением с учетом выбранных конструкций. Рисунок 6 -Строительный объект Маскратского водопада [14] В исследовании [8] был предложен новый последовательный алгоритм, позволяющий сократить количество датчиков, что в результате позволило сэкономить и получить достоверные резульаты. Также была предложена [15] стратегия размещения датчиков, основанная на моделировании методом конечных элементов, где рассматривается случай теплопередачи в бетонной плите.…”

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Application Features of Concrete Strength Monitoring Sensors

Tulebekova¹,

Utepov²,

Zharasov³

2021

Bull. of Kaz. Lead. Ac. of Archit. and Const.

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The paper presents an algorithm of application of concrete strength monitoring sensors taking into account such features as a selection of sensor type, selection of concrete mixture calibration method according to regulated requirements, consideration of concrete maturity sensor location, degree of influence of hardening temperature on strength gain based on isotherms construction. This algorithm was reflected in practice, as the wireless sensor for concrete strength monitoring developed within the project was applied according to the selected scheme in real-time.

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Optimal sensor placement based on relaxation sequential algorithm

Cited by 14 publications

References 18 publications

Optimal sensor placement of bridge structure based on sensitivity‐effective independence method

Optimal sensor placement of bridge structure based on sensitivity‐effective independence method

Robust sensor placement for structural identification

Application Features of Concrete Strength Monitoring Sensors

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