Modal Sensitivity Based Sensor Placement for Damage Identification Under Sparsity Constraint

Błachowski, Bartłomiej

doi:10.3311/ppci.13888

Cited by 12 publications

(11 citation statements)

References 27 publications

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“…Jo ve diğ., algılayıcıların optimal sayısını ve yerleşimini belirlemek için yanma, akış ve katalizli bir buhar makinesi modeline boşluklu ayrıştırma yöntemi uygulamışlardır [31]. Blachowski tarafından, mekansal truss yapılarının hasar tespiti için kapsamlı bir yaklaşım sunulmuştur [32]. Spinelli ve diğ., belirli bir topluluğa yayılan salgın hastalıkların küçük bir düğüm kümesi tarafından tespit edilmesi için iki boyut içeren genel bir çerçeve önermişlerdir [33].…”

Section: İlgi̇li̇ çAlişmalarunclassified

“…En az sayıda düğüm kullanımı sağlanamaması Olasılık tabanlı düğüm yerleştirme işlemi [4], [27], [29], [32] Kapsama alanı, Rasgele En az sayıda düğüm kullanımı sağlanamaması Genel düğüm yerleştirme işlemi [5], [9], [12], [15], [20], [22], [23], [24], [25], [26], [30], [33] Kapsama alanı En az sayıda düğüm kullanımı sağlanamaması Hedef düğüm yerleştirme işlemi [6], [14], [28], [31] Tablo 1'de, ilgili çalışmaların kullanılan yöntem ve tekniklere göre karşılaştırmalı olarak genel bir özeti verilmektedir.…”

Section: Rasgeleunclassified

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Cost Efficient Sensor Node Placement Approach for Using Minimum Number of Node in Wireless Sensor Networks

Bayrakdar

2019

Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi

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Kablosuz algılayıcı ağlar birçok alanda yaygın olarak kullanılan kablosuz ağ teknolojisidir. Yeraltı, karasal, sualtı ve endüstriyel algılayıcı ağlar olmak üzere farklı kullanım alanları bulunmaktadır. Kablosuz algılayıcı ağlardaki en önemli sorunlardan birisi, algılayıcı düğümlerin mekanik nedenlerden dolayı arızaya meyilli olmasıdır. Diğer bir sorun ise, kablosuz algılayıcı düğümlerin sınırlı enerjiye sahip olmasıdır. Bu bağlamda, hata sezme mekanizmaları bulunan ve enerji verimli olarak çalışan algılayıcı ağ tasarımları büyük önem taşımaktadır. Bunun yanında, maliyet açısından algılayıcı düğümlerin yerleştirildiği konumları belirleme tekniği oldukça önemlidir. Düğümlerin yerleştirildiği konumlar, hedef bölgenin bir düğümün algılama alanı içinde olma olasılığını ve bu düğümün baz istasyonu ile olan bağlantısını etkilemektedir. Bu makale çalışmasında, çok sayıda algılayıcı düğümün geniş bir alana yerleştirildiği farklı bir yaklaşım önerilmektedir. Algılayıcı düğümler; belirli bir bölgedeki sıcaklık, nem, basınç vb. parametreleri algılamak için tüm bölgeyi kapsayacak şekilde yerleştirilmektedir. Düğümler tarafından algılanan değerler, merkezde sabit olarak bulunan baz istasyonu tarafından toplanmaktadır. Önerilen yaklaşımın benzetim modeli, Riverbed Modeler yazılımı kullanılarak gerçekleştirilmiştir. Önerilen yaklaşım sayesinde, belirli bir bölgenin en az sayıda kablosuz algılayıcı düğüm ile sezilmesi sağlanmaktadır.Anahtar Kelimeler-Cihaz Maliyeti; Düğüm Yerleştirme; Enerji Tüketimi; Kablosuz Algılayıcı Ağ; Kapsama Alanı bstract-Wireless sensor networks are widely used wireless network technology in many areas. There are different usage areas such as underground, terrestrial, underwater and industrial sensor networks. One of the most important problems in wireless sensor networks is that the sensor nodes are prone to malfunction due to mechanical reasons. Another problem is that the wireless sensor nodes have limited energy. In this context, sensor network designs with error sensing mechanisms and energy efficient operations are of great importance. In addition, the technique of determining the locations where the sensor nodes are placed is very important in terms of cost. The locations where the nodes are placed affect the probability that the target region is within the detection area of a node and its connection with the base station. In this paper, a different approach is proposed in which a large number of sensor nodes are placed on a large area. Sensor nodes are placed to cover the entire region in a specific area in order to detect the parameters such as temperature, humidity, pressure, etc. The values detected by the nodes are collected by the base station which is fixed at the center. The simulation model of the proposed approach was performed by using Riverbed Modeler software. Thanks to the proposed approach, it is ensured that a certain region is sensed by the minimum number of wireless sensor nodes.

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Section: İlgi̇li̇ çAlişmalarunclassified

Section: Rasgeleunclassified

Cost Efficient Sensor Node Placement Approach for Using Minimum Number of Node in Wireless Sensor Networks

Bayrakdar

2019

Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi

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“…Others have used the experimental data to investigate the efficiency of the damage detection techniques [17]. The sensitivity of the damage identification results to the placement of sensors for collecting the experimental data has also been studied based on a three-level analysis in order to select the efficient location of sensors for damage detection [18].…”

Section: Introductionmentioning

confidence: 99%

Multiple Crack Detection in Thick-walled Pipes Using Artificial Bee Colony Algorithm

Banimahd¹,

Rahemi

2021

Period. Polytech. Civil Eng.

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An analytical method for diagnosis of cracks in thick-walled pipes with a circular hollow section is investigated in this study. In the proposed method, the defect is assumed to be a non-leaking crack, which is modeled by a massless linear spring with infinitesimal length at the crack location. In order to find the cracks in the pipe, the vibration-based method related to the modal properties of the pipe is utilized. In the modal analysis, the mass and stiffness matrices influence the dynamic properties of the pipe. It is assumed that the mass matrix remains unchanged after the crack initiation, while the corresponding stiffness matrix changes. The stiffness matrix of a cracked element can be formulated by the finite element method with two unknown parameters: location and depth of the crack. Using the eigensolution for an undamped dynamic system to formulate the objective function yields to a complicated optimization problem, which can be solved by an iterative numerical optimization method. Among the optimization approaches, the Artificial Bee Colony (ABC) algorithm is a simple and flexible technique for minimizing the objective function. In this paper, the analytical model is utilized to find the size and position of cracks in a pipe using the ABC algorithm and subsequently some numerical examples are examined in order to assess the accuracy of the method. The results show that the proposed method is able to acceptably estimate the location and depth of multiple cracks in the straight pipes as well as curved ones.

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“…They proposed to select the locations at which modal sensitivities attain their maxima. Recently, this idea was utilized in sparsity-constrained optimization for effective damage identification in spatial truss structures (Blachowski, 2019).…”

Section: Introductionmentioning

confidence: 99%

Convex relaxation for efficient sensor layout optimization in large‐scale structures subjected to moving loads

Błachowski

Świercz

Ostrowski

et al. 2020

Computer aided Civil Eng

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This paper proposes a computationally effective framework for load‐dependent optimal sensor placement in large‐scale civil engineering structures subjected to moving loads. Two common problems are addressed: selection of modes to be monitored and computational effectiveness. Typical sensor placement methods assume that the set of modes to be monitored is known. In practice, determination of such modes of interest is not straightforward. A practical approach is proposed that facilitates the selection of modes in a quasi‐automatic way based on the structural response at the candidate sensor locations to typical operational loads. The criterion used to assess sensor placement is based on Kammer's Effective Independence (EFI). However, in contrast to typical implementations of EFI, which treat the problem as a computationally demanding discrete problem and use greedy optimization, an approach based on convex relaxation is proposed. A notion of sensor density is applied, which converts the original combinatorial problem into a computationally tractable continuous optimization problem. The proposed framework is tested in application to a real tied‐arch railway bridge located in central Poland.

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Modal Sensitivity Based Sensor Placement for Damage Identification Under Sparsity Constraint

Cited by 12 publications

References 27 publications

Cost Efficient Sensor Node Placement Approach for Using Minimum Number of Node in Wireless Sensor Networks

Cost Efficient Sensor Node Placement Approach for Using Minimum Number of Node in Wireless Sensor Networks

Multiple Crack Detection in Thick-walled Pipes Using Artificial Bee Colony Algorithm

Convex relaxation for efficient sensor layout optimization in large‐scale structures subjected to moving loads

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