Nondestructive Detection of Valves Using Acoustic Emission Technique

Jin, Yan; Heng-hu, Yang; Hong, Yang; Zhang, Feng; Liu, Zhen; Wang, Ping; Yang, Yan

doi:10.1155/2015/749371

Cited by 19 publications

(8 citation statements)

References 66 publications

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“…The feasibility of acoustic emission sensors for valve leakage detection is presented in related literature [90] , where the acoustic emissions are shown to be a function of defect size and valve pressure. The device of Publication III, fabricated on a Silicon on insulator (SOI) process, was essentially a unidirectional accelerometer designed to detect vibrations normal to the surface on which it's mounted.…”

Section: Acoustic Emission Sensormentioning

confidence: 99%

Towards Power Autonomous Wireless Sensors

Caffrey

Pursula

Viikari

2021

2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)

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Section: Acoustic Emission Sensormentioning

confidence: 99%

Towards Power Autonomous Wireless Sensors

Caffrey

Pursula

Viikari

2021

2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)

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“…This is the most known CM method, which allows detection of various types of failures. As discussed in recent review papers, the application areas for the vibration based CM are ranging from structural engineering (Carden and Fanning 2004) and wind turbines (Hameed et al 2009;Kusiak et al 2013;De Azevedo et al 2016) to diagnostics of electrical motors (Nandi et al 2005) and gearboxes (Lei et al 2014;Li et al 2016), monitoring of rolling bearings (El-Thalji and Jantunen 2015) and tool condition monitoring in drilling and cutting operations (Rehorn et al 2005); • Acoustic based CM that detects and analyses the elastic waves generated by rapidly released energy from local events, such as cracks, impacts, leaks, and similar events (Li 2002;Kusiak et al 2013;Yan et al 2015;De Azevedo et al 2016); • Monitoring of electrical effects. This technique is typically performed for monitoring of electrical equipment, such as generators, motors, etc.…”

Section: Condition Monitoringmentioning

confidence: 99%

Computational monitoring in real time: review of methods and applications

Dyskin

Başarır

Doherty

et al. 2018

Geomech. Geophys. Geo-energ. Geo-resour.

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Continuous monitoring of mechanical parameters determining the state of natural and manmade systems is essential in a wide range of engineering disciplines from mechanical to civil and geotechnical engineering. To be effective, the monitoring response time needs to be commensurate with the characteristic time of variation of the processes being monitored e.g. from seconds as for example in some machinery, to weeks and months for mining excavations and years in the case of structures. The methods of measurement can therefore differ significantly for different applications. In spite of this, the methods of information processing-the computational monitoring-have considerable commonality. This review focuses on the methods of computational monitoring in solid and structural mechanics problems in different engineering applications. The traditional methods of monitoring are reviewed along with the corresponding computational and measurement methods. The basic principles of the computational monitoring in real time are established.

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“…Therefore, it is necessary to develop reliable techniques that could prognosis the pathology, at its early stages. For detection of corrosion purposes and for determining rebar corrosion rate, several electrochemical and Non-Destructive (ND) techniques are available [5][6][7][8][9][10]. Conventional corrosion detection techniques are typically based on electrochemical principles consisting of half-cell, resistivity method, polarization resistance measurement.…”

Section: Introductionmentioning

confidence: 99%

Numerical study to evaluate characteristics of an embedded SHM sensor to prevent rebar corrosion in concrete using magnetic flux density

Kadkhodazadeh¹,

Souriou²,

Ihamouten³

et al. 2022

eJNDT

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Rebars corrosion is the main durability threat of Reinforced Concrete (RC) structures that reduce the service life, in marine environment. The chloride ions penetration to RC, can accelerate the corrosion process which increase RC structures collapsing risk. Therefore, regular health monitoring inspections is necessary to evaluate chlorides ingress, before they reach rebars. Many None Destructive Techniques (NDT), such as Electrochemical or Electromagnetic (EM) Methods, have been developed to detect rebar’s corrosion. However, most of them are not able to precisely determine the chlorides transfer mechanism or their results suffer from uncertainty and cannot distinguish chloride ions from other environmental factors changing. Under framework of ANR French project LabCom OHMIGOD, we want to propose a novel Structural Health Monitoring (SHM) sensor for detection of chlorides penetration front in cover concrete, as preventive ND method. The sensor is made of magnetic and ferromagnetic materials that are sensitive to chloride ions and could generate magnetic flux density (B), as output signature. By embedding sensor in cover concrete, exposed to chlorides penetration, corrosion could emerge on the sensor’s reactive part. Thereby, its geometrical properties and consequently, its output signature would be affected, too. By using an external interrogator, it would be possible to obtain variation of B, in function of corrosion evolution on sensor, as ND observable. In order to evaluate the sensor’s characteristics, we present a sensor’s numerical model and thereby, the related efficient geometrical parameters (surface and thickness) and also the location in concrete, are investigated. We used the Finite Element Method (FEM) for numerical modeling of the sensor. The simulation results show that the variation range of B, up to 70% is achieved for the reactive part geometry of 25 mm × 25 mm × 0.8 mm, in depth’s range of 1 cm up to 3 cm from concert’s surface.

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Nondestructive Detection of Valves Using Acoustic Emission Technique

Cited by 19 publications

References 66 publications

Towards Power Autonomous Wireless Sensors

Towards Power Autonomous Wireless Sensors

Computational monitoring in real time: review of methods and applications

Numerical study to evaluate characteristics of an embedded SHM sensor to prevent rebar corrosion in concrete using magnetic flux density

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