ID 101
Title Design of a dual-port, side-incident microwave probe for detection of in-pipe damage
Author Guanren Chen, Takuya Katagiri, Noritaka Yusa, Hidetoshi Hashizume,
Published in Measurement Science and Technology 31 (2020), 125001.
Keywords electromagnetic non-destructive inspection, side-incident, in-pipe damage, mode converter
Abstract This study reports a dual-port, side-incident microwave probe dedicated to the non-destructive inspection of metal pipes. Two types of side-incident probes (LJ and JL) are proposed to emit TM01 and TM02 mode microwaves into the pipe under test, and each type of probe has two ports used to inspect two opposite directions. Numerical simulations are conducted to study the dimensional parameters affecting the transmission characteristic of the probe and optimize the probe to obtain better mode purity and transmission directivity. The simulation results also suggest that the optimal probe dimensions for one inner pipe diameter can be applied to another diameter by multiplying the dimensions by a factor that is determined by the ratio of two diameters. Two LJ-type, side-incident probes with an inner diameter of 19 mm or 39 mm are fabricated according to the simulation results. The experimental verification is subsequently carried out to test the detection directivity of the probes by detecting the short pipes with partially milled damage situated on both sides of each probe. Experimental results show that the proposed dual-port, side-incident probe can effectively detect the in-pipe damage on either side of the probe using the corresponding port and thus realize the directional pipe inspection. Furthermore, this method shows a prospect of being applied to various inner pipe diameters.

ID 102
Title エネルギーに対する意識と個人属性の関連性に関する調査研究
Author 遊佐訓孝
Published in エネルギー環境教育研究 15 (2021), 61-68.
Keywords
Abstract エネルギーに対する意識と個人属性の関連性評価のためのアンケート調査を実施した.インターネット上でのクラウドソーシングサービスを利用 し,3742名からエネルギー問題に対する関心の度合い,石油,石炭,ガス,水力,太陽光,風力,原子力を30年後どの程度使用するべきかなどの 問いに対する回答を,性別,年代,学歴,年収,居住環境,エネルギーに関する知識,婚姻状況,そして専攻/経歴の文系/理系の度合いに関するもの とともに収集した.同一回答者に対して短期間に2回の同一調査を実施し,回答の一貫性が乏しい回答者を除外して集計することでエネルギーに対する 意識と個人属性の関連性はより明瞭となった.全体的に,年代,収入,知識量が高い/大きいほどエネルギー問題に対し関心を持ち,エネルギー問題を 重要視しており,エネルギーの選択において意見を持っていた.また,女性は男性に比べ,高年齢層は低年齢層に比べ,また再生可能エネルギーを正し く理解している回答者はそうでない回答者に比べ,化石燃料及び原子力に対してより否定的であった.また,婚姻状況および居住環境による回答差異は 確認されなかった.

ID 103
Title Demonstration of detection of the multiple pipe wall thinning defects using microwaves
Author Takuya Katagiri, Guanren Chen, Noritaka Yusa, Hidetoshi Hashizume
Published in Measurement 64 (2020), 465-472.
Keywords Electromagnetic nondestructive testing, pipeline, multiple defects, signal processing, microwaves
Abstract In this study, the applicability of a nondestructive method using microwaves to the detection of multiple pipe wall thinning defects was investigated. In numerical simulation, a single full circumferential defect was introduced into a straight pipe of 19 mm inner diameter, and the effect of the defect on transmitted waves was investigated. The transmitted energy ratio of the TM01 mode to the emitted wave was found to be 93% in average even in the presence of a 1-mm depth thinning. After that, experimental measurements were performed using a flanged brass tube with two artificial thinning defects. By applying signal processing to the measured S-parameters, clear reflections from the two defects were observed. By comparing the signals, we confirmed that the first full circumferential defect provides at most 12% amplitude attenuation of the reflected signal from the second defect, which should be related to the distance and size of the defects.

ID 104
Title A detection sensitivity analysis model for structural health monitoring to inspect wall thinning considering random sensor location
Author Haicheng Song, Noritaka Yusa
Published in Research in Nondestructive Evaluation 32 (2021), 74-87.
Keywords finite element simulation, probability of detection, sensor placement
Abstract Structural health monitoring (SHM), which allows the detection of defects at an early stage by attaching sensors to the target, is an effective method of enhancing the reliability and the safety of important engineering structures. One of the practical difficulties of SHM is that usually a large area must be monitored using a limited number of sensors fixed at certain locations. And the sensor placement is a decisive contributor to the detection capability of SHM because measured signals are generally dependent on the location of a defect with respect to a sensor. In order to quantify the detection sensitivity more reasonably, this study proposes an analytical method based on a closed-form probability density function and a numerical method based on Monte-Carlo simulation to quantify the detection sensitivity, taking into account the randomness of sensor location. The effectiveness of the proposed detection sensitivity analysis model has been examined using simulated inspection signals of low frequency electromagnetic monitoring for detecting full circumferential pipe wall thinning.

ID 105
Title Inverse analysis of low frequency electromagnetic signals for sizing local wall thinning using a multivariate probabilistic model
Author Haicheng Song, Noritaka Yusa
Published in NDT&E International119 (2021), 102417.
Keywords nondestructive inspection, multi-frequency signal, inverse analysis
Abstract Local wall thinning is a common form of degradation in carbon steel pipes, and a low frequency electromagnetic method is proposed in this study to inspect such wall thinning defects. In addition, an appropriate method needs to be developed to solve the inverse problem, which is to estimate defect size based on the inspection signal. Resolving the inverse problem of nondestructive inspection usually involves a machine learning algorithm and training data should be large and realistic to enable the algorithm to produce an accurate and reliable estimate of defect size. However, the acquisition of such training data is sometimes time-consuming and costly. Therefore, this study aims to estimate the size of local wall thinning based on the inspection signal by developing a new method to generate training data for a machine learning algorithm. With the aid of signals obtained from numerical simulation, a multivariate probabilistic model is proposed to infer a joint distribution over features extracted from measured multi-frequency signals from the low frequency electromagnetic inspection method. The joint distribution is subsequently leveraged to quickly generate sufficient training data for a Gaussian process regression algorithm that uses the signal features as the input to estimate defect size. The multivariate probabilistic model is proved able to reasonably characterize the joint distribution over the features. Moreover, the trained algorithm has been validated by experimental data and it is confirmed it can be used to estimate the residual thickness of a pipe wall with errors within tolerance and high reliability even when the lift-off is changed.

ID 106
Title Frequency component mixing of pulsed or multi-frequency eddy current testing for nonferromagnetic plate thickness measurement using a multi-gene genetic programming algorithm
Author Jiuhao Ge, Noritaka Yusa, Mengban Fan
Published in NDT&E International 120 (2021), 102423.
Keywords eddy current testing, Gini coefficient, linearity, genetic programming
Abstract For the efficient use of frequency components, a frequency mixed feature for pulsed eddy current testing (PECT) or multi-frequency eddy current testing (MultiECT) was proposed for measuring nonferromagnetic plate thickness measurement. An evolutionary algorithm, multigene genetic programming, was employed to mix the frequency components using the best linearity as a target. Time domain and frequency domain finite element simulations of PECT and MultiECT were conducted. The simulation results revealed that, for in terms of thickness measurement, a mixed feature comprising two or three frequencies was more linear and accurate than the traditional peak time and decay coefficient of PECT. Experiments were conducted to validate the results of the simulations and to test the mixed feature in aluminum plate thickness evaluations. The experimental results also revealed that the use of more frequencies did not always increase the accuracy of thickness evaluations. Proper frequency component selection was more efficient than blindly addingincreasing frequency numbers.

ID 107
Title Experimental investigation on bend-region crack detection using TE11 mode microwaves
Author Guanren Chen, Takuya Katagiri, Noritaka Yusa, Hidetoshi Hashizume
Published in Nondestructive Testing and Evaluation (accepted for publication)
Keywords Non-destructive testing, metal pipe, mode conversion, bend, microwave probe
Abstract This study experimentally investigates the efficacy of TE11 mode microwaves in detecting bend-region cracks. Three types of bends with different dimensions were deployed in a 3 m piping system and then tested, with an axial or circumferential slit machined at different angular positions to simulate a crack. The TE11 mode microwaves were excited using self-designed TE11 mode microwave probes and utilised for crack detection. The experimental results show clear reflection peaks at the bend position, demonstrating the feasibility of applying TE11 mode microwaves in the detection of bend-region cracks. Furthermore, the peak location of reflection is in accordance with the angular position of the slit. The findings also indicate that the peak amplitude of reflection is affected by the factors of mode conversion of microwaves at a bend. In addition, the experimental results also manifest an excellent signal-to-noise ratio to both two types of slits, suggesting that the microwave NDT is a powerful tool for bend-region inspection.

ID 108
Title Probabilistic evaluation of EMAR signals to evaluate pipe wall thickness and its application to pipe wall thinning management,
Author Noritaka Yusa, Haicheng Song, Daiki Iwata, Tetsuya Uchimoto, Toshiyuki Takagi, Makoto Moroi
Published in NDT&E International122 (2021), 102475.
Keywords periodic non-destructive inspection, electromagnetic non-destructive testing, electromagnetic acoustic transducer, pipe inspection, probability of detection, corrosion rate
Abstract In this study an approach is proposed to probabilistically evaluate wall thickness and the probability of pipe failure when subjected to wall thinning based on the results of periodic non-destructive evaluations. Electromagnetic acoustic resonance (EMAR) has been adopted as a specific non-destructive method to evaluate pipe wall thickness. A probabilistic model correlating the true and evaluated thicknesses was proposed on the basis of the results of laboratory experiments to measure 38 artificially corroded carbon steel plates. A Bayesian approach was proposed to estimate the probability of true thickness and the probability of failure from results of multiple non-destructive evaluations at certain time intervals. The approach was applied to the analyses of several virtual periodic EMAR evaluations of pipe wall thickness that gradually became thinner, whose results demonstrate that the proposed approach is effective regardless of the variability of corrosion rates.

ID 109
Title Evaluation of detection capability of eddy current probes with stochastic decision threshold for inspecting pits on austenitic stainless steel
Author Jing Wang, Haicheng Song, Takuma Tomizawa, Noritaka Yusa, Yuanjing Ling
Published in International Journal of Applied Electromagnetics and Mechanics67 (2021), 19-33.
Keywords
Abstract

ID 110
Title Probability of detection model based on hit/miss data considering multiple signal features and multiple flaw parameters from eddy current testing suffering low signal to noise ratio
Author Takuma Tomizawa, Haicheng Song, Noritaka Yusa, Hideki Yuya
Published in Nondestructive Testing Diagnosis
Keywords Weld, Cladding, Stainless steel, Corrosion pit, Non-destructive testing
Abstract This study developed a probabilistic method based on hit/miss analysis to evaluate the detection capability of eddy current testing (ECT) under low signal-to-noise (S/N) ratio, taking into consideration multiple signal features and multiple flaw parameters. Realistic corrosion pits on stainless steel clads were prepared and eddy current inspection was conducted to gather flaw signal and noise. The proposed method was applied to the experimental data. Hit/miss of flaw signals were judged by the threshold using multiple signal features. The Hit/miss results were fitted to the selected function of probability of detection (POD) based on extended information criteria. The POD's 95% upper confidence bounds were generated by bootstrap method. Experimental results, generated POD contours, and 95% upper confidence bounds indicate that the proposed method allows for reasonable evaluation of the detection capability.

ID 111
Title エネルギーベストミックス学習のためのボードゲーム開発
Author 遊佐訓孝,浜田良樹
Published in エネルギー環境教育15 (2021), 21-28.
Keywords
Abstract エネルギー環境教育における重要な課題の一つと位置付けられているエネルギーのベストミックスについて学ぶための4人用ボードゲームを開発した. 当該ボードゲームでは各プレイヤーはある国の電力供給を担う最高責任者となり,発電設備と資源を用いて発電し,必要量の電力を供給することで自国 を発展させることを目的とする.発展と共に必要電力も上昇するが,資源価格の変動や発電に伴う温室効果ガス排出量の制限,そして特定の発電設備が 有利/不利になるランダムイベント等があるため,各電源の特徴を考慮した上での選択が必要となるという特徴を有している.最終的に自国を最も発展 させたプレイヤーが勝利者となる.ゲーム未経験者12名による評価結果は,当該ボードゲームは市販のボードゲームと同程度のゲーム性を有しつつ も,電源特性及びそれを踏まえたエネルギーミックスの理解のために有効であると考えられるとのものであった.

ID 112
Title Inspection of pitting corrosions on weld overlay cladding using uniform eddy current testing and rotating eddy current testing
Author Jiuhao Ge, Fanwei Yu, Takuma Tomizawa, Haicheng Song, Noritaka Yusa
Published in IEEE Transactions on Instrumentation & Measurement70 (2021), 6010410.
Keywords Reactor pressure vessel, artificial pit, corrosion evaluation, RECT
Abstract This study investigated the applicability of detecting pitting corrosions on stainless steel weld overlay cladding using uniform eddy current testing, which is insensitive to surface undulation, and rotating eddy current testing, which can be considered a superposition of uniform eddy current testing in orthogonal directions. The performance of the two techniques in detecting artificial pitting corrosions on and next to weld beads was compared. The signal distributions revealed that only rotating eddy current testing was capable of describing the surface profiles of pitting corrosions. The results of uniform eddy current testing could not distinguish between pitting corrosions and cracks. The probability of detection curves drawn to quantitatively indicate the detection capabilities of the two techniques revealed that uniform eddy current testing with induced eddy currents parallel and perpendicular to weld beads was better than rotating eddy current testing in detecting pitting corrosions on and next to weld beads, respectively. Scanning twice by uniform eddy current testing at orthogonal orientations may be a better process for detecting pitting corrosion on weld overlay cladding compared with using rotating eddy current testing. The measured signals of the two techniques in normal direction were located around the edges of the pitting corrosions, which only indicated the depth around edges. The results suggest that uniform and rotating eddy current testing with normal direction magnetic field signals may be inadequate for evaluating the maximum depth of pitting corrosions or large corrosions.

ID 113
Title Multivariate Probability of Detection (POD) Analysis Considering the Defect Location for Long-Range, Non-Destructive Pipe Inspection Using Electromagnetic Guided Wave Testing
Author Guanren Chen, Yijin Guo, Takuya Katagiri, Haicheng Song, Takuma Tomizawa, Noritaka Yusa, Hidetoshi Hashizume
Published in NDT&E International 124 (2021), 102539.
Keywords 2D POD, microwave NDT, pipe wall thinning, TM01, multivariate regression
Abstract
This paper presents a multivariate probability of detection (POD) analysis method for long-range pipe inspection using microwave non-destructive testing (NDT). The proposed two-dimensional (2D) POD model considers both the size and location of pipe wall thinning (PWT) and is thus able to simultaneously characterize the detectability and detection range. First, the propagation of microwaves in a pipe with PWT was modeled through numerical simulation. The simulated S-parameters (S11) were converted into the time domain and were further processed to correlate the amplitude of the reflection signal with the corresponding PWT depth and location. The simulation results indicate that the logarithmic amplitude of the reflection signal is proportional to the PWT location and logarithmic PWT depth. Therefore, a prior multivariate regression model was established for the above three parameters. Second, an experiment was performed using a 14.5-m-long brass pipe. Twelve short pipes with six different inner diameters were used to emulate PWT and were deployed at eight different locations in the pipe. The experimental results suggest that each PWT can be detected with excellent repeatability, and show consistency with the simulation results. The processed experimental signals were subsequently employed for the regression model of the amplitude of the reflection signal, PWT depth, and location. Finally, a 2D POD model was constructed on the basis of the regression model and a dynamic-static threshold, combining in-pipe microwave signal attenuation with instrumental noises. The POD plot and contour give reasonable interpretations of the detection capability of this testing method against PWTs with different depths, considering the PWT locations.

ID 114
Title Transformation of rotating eddy current testing signal at desired eddy current orientation
Author Jiuhao Ge, Chenkai Yang, Fanwei Yu, Noritaka Yusa
Published in NDT&E International 125 (2022), 102551
Keywords Rotating field; Phase rotation; Welds noise decreasing
Abstract The results of rotating eddy current testing can be regarded as the results superposed by the uniform eddy current testing in orthogonal directions. However, in the case of the directional nondestructive testing problem, such as welds detection, only the results from the induced current that is perpendicular to the crack have the greatest sensitivity. In contrast, the results from other induced current orientations may contain a large amount of noise generated by welds. In this work, a brief method is proposed to transform the results of rotating eddy current testing into the results of uniform eddy current testing at the desired eddy current orientation. The experiments indicate that both the signal distribution and the signal amplitude of the transformed results well match the results of uniform eddy current testing. Moreover, an application of the proposed method in welds detection is conducted. The results reveal that the welds noise significantly decreased and that the indication of slits can be obviously identified. The results validate that the proposed method can improve the detection ability and expand the application of the rotating eddy current testing technique.

ID 115
Title Whether "rich in frequency" means "rich in information" in pulsed eddy current testing to evaluate plate thickness: A numerical investigation
Author Noritaka Yusa, Jiuhao Ge, Mengbao Fan
Published in Materials Transactions
Keywords electromagnetic nondestructive evaluation, finite element method, inverse problem, ill-posedness, thickness evaluation
Abstract This study investigated whether it is really reasonable to insist that being "rich in frequency" represents an advantage of pulsed eddy current testing when compared with conventional eddy current testing. More specifically, this study compared the capabilities of pulsed eddy current testing and conventional eddy current testing in evaluating the thickness of non-ferromagnetic plates with thicknesses of 1–20 mm. To avoid any instrumentation effect, the investigations were performed based on signals obtained by finite element simulations, and the correlations between the thickness and a scalar feature value extracted from measured signals were discussed. This study considered two typical excitation waveforms, a Gaussian pulse and a step function simulating the sudden termination of the excitation currents, and four simple and conventional scaler feature values: peak amplitude, time to peak, time to attenuate the signal into a certain level, and logarithmic slope of the signal attenuation. Narrowing the Gaussian pulse led to difficulty in terms of the thickness evaluation, although it should make the pulse richer in frequency. Subsequent analyses compared the capabilities of the pulsed and conventional eddy current testing to evaluate plate thickness under the assumption that they have the same signal-to-noise ratio. The results revealed that the error in the thickness evaluation using the pulsed eddy current testing was somewhat larger than the error using the conventional eddy current testing with three frequencies. Whereas the target of this study was limited to the thickness evaluation of non-ferromagnetic plates, the results of this study point out that what is important is using frequencies in a proper range as well known in the conventional eddy current testing. They also indicate that it is not reasonable to postulate that "richness in frequency" always leads to a better nondestructive evaluation when using the pulsed eddy current testing.

ID 116
Title Application of high-frequency ultrasonic test to the non-destructive inspection of W-Cu bonded interface
Author Noritaka Yusa, Ryouji Suzuki, Takashi Furukawa, Masayuki Tokitani, Suguru Masuzaki
Published in Plasma and Fusion Research (accepted for publication)
Keywords non-destructive testing, divertor, cooling channel, diffusion bonding, solid state bonding, imaging, thermography
Abstract This study evaluated the applicability of high-frequency ultrasonic tests to the non-destructive inspection of the bonded interface between a cooling pipe and a divertor monoblock. Samples prepared in this study were an ITER-grade tungsten block bonded with a 2.5 mm-thick oxygen-free copper using diffusion bonding. The high-frequency ultrasonic test was performed using an acoustic microscope. A probe, operated in pulse-echo mode, scanned the copper surface of the sample two-dimensionally. Five probes with operating frequencies ranging from 15 to 50 MHz were used. The measured ultrasonic signals were converted into ultrasonic images on the assumption that the samples had a uniform and isotropic speed of sound to evaluate reflections from the interface. Whereas an interface without any artificial flaw partly reflected ultrasonics, setting the decision threshold properly, based on the distribution of the surface echo amplitudes, enabled the smallest flaw to be detected clearly. Ultrasonic signals measured around 30 MHz showed the best signal-to-noise ratio in detecting an artificial flaw introduced at the bonding layer. The results of the ultrasonic tests were consistent with those of subsequent lock-in thermography and destructive test. However the thermography test could not detect small flaws that the high-frequency ultrasonic test confirmed.

ID 117
Title Demonstration of quantitative evaluation of pipe wall thinning defects using microwave NDT
Author Yijin Guo, Guanren Chen, Takuya Katagiri, Noritaka Yusa, Hidetoshi Hashizume,
Published in Nondestructive Testing and Evaluation (accepted for publication)
Keywords microwaves, signal processing, resonant frequency, back propagation neural network
Abstract This study investigated the applicability of microwave nondestructive testing, which has been proved effective in quickly detecting the defect location in a long pipe, to the size evaluation of wall thinning defects. Artificial wall thinning defects with different sizes (depths and lengths) and edge profiles were introduced to a flanged brass pipe with a total length of 15 m, and reflected microwave signals were measured in experiments. A signal processing method combining windowing and dispersion compensation was proposed to extract the defect-related reflection signals in the frequency domain. Resonant frequencies, at which the amplitude of extracted signals dropped significantly, decreased with the increase of either wall thinning depth or length. In addition, the results demonstrate that wall thinning location and pipe end conditions have little influence on resonant frequencies after signal processing. A back propagation neural network was trained by simulation data, using resonant frequencies as the input, to simultaneously evaluate defect depth and length, and the performance was validated by experiments. Maximum prediction errors of depth and length of wall thinning were 0.06 mm and 0.57 mm, respectively, which indicated the feasibility of proposed method to evaluate the wall thinning defect sizes.

ID 118
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ID 119
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ID 120
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