Reliability evaluation of pipe thickness measurement by electromagnetic acoustic transducer

Nakamoto, Hiroyuki; Kojima, Fumio; Tabata, Hiroki; Kosaka, Daigo

doi:10.3233/jae-141926

Cited by 5 publications

(5 citation statements)

References 4 publications

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“…Only a few recent studies have reported the application of POD concept to analyze EMAR signals due to wall thinning [21] [22] . They transform â and a using log function so that they show a linear relationship with homogeneity, like typical POD analysis of eddy current signals.…”

Section: Probabilistic Analysis Of Emar Resultsmentioning

confidence: 99%

“…Conventionally, POD has been commonly applied to analyze eddy current signals where the presence of a flaw is evaluated based on the amplitude of measured signals. Recently studies have frequently reported POD analysis of ultrasonic signals [16]- [20] , most of which evaluate the presence of a flaw based on the [21] [22] ; these studies adopted a conventional approach basically and thus had difficulty in evaluating the detectability against small wall thinning as described later. Figure 2 shows the microscopic surface profile of one of the samples measured using a laser scanning microscope VK-X1000 (Keyence Corporation, Osaka, Japan).…”

Section: Introductionmentioning

confidence: 99%

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Probabilistic analysis of electromagnetic acoustic resonance signals for the detection of pipe wall thinning

Yusa

Song

Iwata

et al. 2019

Nondestructive Testing and Evaluation

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This study proposes a probability of detection (POD) model for the probabilistic analysis of the detectability of electromagnetic acoustic resonance (EMAR) method for the detection and evaluation of pipe wall thinning. Forty-one carbon steel plate samples with an artificially corroded groove were prepared to simulate pipe wall thinning caused by flow-assisted corrosion. Experiments were performed to gather EMAR signals from the samples, and subsequently the depths of the grooves were evaluated based on the fundamental frequency of the measured signals. The results of the experiments showed that the error in evaluating the depth of a groove tended to increase with the depth. The results also confirmed that the surface roughness of the groove would contribute to the error, and the thickness of a plate without corrosion can be quite accurately evaluated. Analyzing the measured EMAR signals using the proposed POD model, which takes these characteristics into consideration, and a conventional one confirmed that the proposed model can more reasonably evaluate the probability of detection against small wall thinning, as well as the false positive rate.

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Section: Probabilistic Analysis Of Emar Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Probabilistic analysis of electromagnetic acoustic resonance signals for the detection of pipe wall thinning

Yusa

Song

Iwata

et al. 2019

Nondestructive Testing and Evaluation

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“…The bias and dynamic bias fields were computed by using Newton-Raphson algorithm. For the magnetostrictive force model (26) and (27), we developed the simulator applying finite difference time domain (FDTD) method [3] [9]. The wave propagation model (28) and (29) were also solved numerically by FDTD method (See [8] for more details).…”

Section: Numerical Experimentsmentioning

confidence: 99%

Impact model and control of ultrasonic excitation using electromagnetic acoustic transducer

Kojima

Furusawa

Ito

2015

2015 10th Asian Control Conference (ASCC)

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This paper is concerned with a mathematical modeling of ultrasonic excitation signal generated by electromagnetic acoustic transducer (EMAT). Target inspection service is assumed to be directed to ferromagnetic materials. The set of impact models by EMAT are then described by a static magnetic problem, an eddy current problem, and a magnetic-elastic coupling problem. First, the bias magnetic field by permanent magnets can be described by a nonlinear static magnetic field model. Secondly, the dynamic magnetic field by electrical coil can be analyzed by a time-dependent linear electro-magnetic model. Thirdly, the magnetic-elastic coupling is generated by interaction between bias and dynamic magnetic fields. Finally impact models of ultrasonic test signals are formulated as total effects by Lorentz, magnetization, and magnetostrictive forces. Some control issues related to nondestructive evaluation are also discussed under our framework.978-1-4799-7862-5/15/$31.00 © 2015 IEEE 978-1-4799-7862-5/15/$31.00

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“…Each EMAT can be actuated individually to have the potential of multichannel operation as well as piezoelectric transducers. In addition, EMATs are simple, resistant to high-temperature environments [5], and economical. EMATs have many advantages compared to conventional transducers.…”

Section: Introductionmentioning

confidence: 99%

Mode control of guided wave in magnetic hollow cylinder using electromagnetic acoustic transducer array

Furusawa

Kojima

Morikawa

2015

Nuclear Engineering and Technology

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Reliability evaluation of pipe thickness measurement by electromagnetic acoustic transducer

Cited by 5 publications

References 4 publications

Probabilistic analysis of electromagnetic acoustic resonance signals for the detection of pipe wall thinning

Probabilistic analysis of electromagnetic acoustic resonance signals for the detection of pipe wall thinning

Impact model and control of ultrasonic excitation using electromagnetic acoustic transducer

Mode control of guided wave in magnetic hollow cylinder using electromagnetic acoustic transducer array

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