Application of Wavelet Transform to Defect Detection of Building’s Structure

Volkovas, V.; Eidukevičiūtė, M.; Noğay, Hidir; Akıncı, Tahir Çetin

doi:10.5755/j01.mech.18.6.3169

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…The results, which were obtained by modelling the changes in data pattern assuming that the building's construction element lost its stability, i.e. defect emerged, and by applying different wavelets, showed that this method is suitable for diagnostics of defects in the construction [18]. With the CWT analysis, buildings construction's defects were detected according the frequency characteristics, also determining time moment of defect appearance.…”

Section: Resultsmentioning

confidence: 99%

The Concept of Buildings Stability Monitoring and Damage Diagnostics

Volkovas

2013

KEM

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The concept of the buildings stability, based on experimental methodology consists of objective monitoring of the parameters defined by modelling and control using hardware tools, i.e. systems monitoring and diagnostics, which allows generating appropriate response to emerging defects, their fixing and prognosis of their location. In the framework of the problem of buildings stability the complex research was done in which mathematical models of buildings construction were created, defects identification method developed and also monitoring concept was composed according which automated monitoring system and software prototypes and structures were implemented. The strategic aim of the development of buildings monitoring system was realized by mathematical and physical modelling of the damages (e.g. defects like crack or destroy of linkage); analysis of characteristics sensitive to defects; selection of stability parameters and measurements; creation of automated system prototype; investigation of the methods applied for the monitoring system and diagnostics; development of software and separate elements of the system and approbation of the whole complex. Thorough evaluation of the technical state of the buildings numerical is executed using physical models and natural objects which support reliable state identification of the building and also helps to track changes.

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Section: Resultsmentioning

confidence: 99%

The Concept of Buildings Stability Monitoring and Damage Diagnostics

Volkovas

2013

KEM

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“…In this article, statistical properties of signals and their representations in wavelet domain are investigated. This study focuses on the relationship between some statistical signal properties in time and wavelet domain and dependencies between coefficients at different scales in hierarchical wavelet domain representation [3,14,15].…”

Section: Wavelet Transformmentioning

confidence: 99%

Fault detection of washing machine with discrete wavelet methods

Akıncı

Karabeyoğlu

Yılmaz

et al. 2014

mech

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“…Contact current-sensing devices, represented by shunt resistance, must be connected in series to the major current loops for dc; and low-frequency (<100 Hz) ac current flows through measuring the drop in output [3]. Non-contact current sensors have been extensively deployed in the monitoring of electric apparatus where electrical isolation from the primary current is required; and various magnetic field detectors, including current transformers (CTs), superconducting quantum interference devices (SQUIDs), Hall devices, and magnetoresistance (GMR) elements underpin many proposals for non-contact current detection [4][5][6]. The principle of Faraday's electromagnetic induction governs nearly all CTs, but their low sensitivity and limited dynamic rangeability severely hinder their practical application.…”

Section: Introductionmentioning

confidence: 99%

Packaged current-sensing device with self-biased magnetoelectric laminate for low-frequency weak-current detection

Zhang

Wen

et al. 2014

Smart Mater. Struct.

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A packaged current sensor consisting of a SmFe2/PZT/SmFe2 self-biased magnetoelectric (ME) laminate and a Fe73.5Cu1Nb3Si13.5B9 nanocrystalline flux concentrator for weak-current detection at the power-line frequency is fabricated and characterized. The giant magnetostrictive material of the SmFe2 plate with its large anisotropic constant provides a huge internal anisotropic field to bias the ME transducer in a closed magnetic loop. Consequently, the additional magnetomotive force induced by the internal field and the corresponding increased effective permeability contribute to an improvement in sensitivity. Experimental results demonstrate that the presented sensor has a higher sensitivity of 152 mV A−1 at 50 Hz with a slight nonlinearity of ∼0.01% FS and matches well with the predicted value. This current-sensing device exhibits approximately 2.3 times higher sensitivity than does conventional ME composite with PZT and Terfenol-D plates serving as the key sensitive component. In addition, the packaged sensor is evaluated for a long period of 72 h to determine stability over time, and the results are analyzed by means of a mathematical statistics method; favorable stability with an uncertainty of 0.5 μV is obtained in continuous 1 h testing. These results represent a significant advancement in the development of promising applications of tri-layer self-biased ME laminate for monitoring power-line electric cords.

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Application of Wavelet Transform to Defect Detection of Building’s Structure

Cited by 7 publications

References 15 publications

The Concept of Buildings Stability Monitoring and Damage Diagnostics

The Concept of Buildings Stability Monitoring and Damage Diagnostics

Fault detection of washing machine with discrete wavelet methods

Packaged current-sensing device with self-biased magnetoelectric laminate for low-frequency weak-current detection

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