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学者姓名：黄若辰
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Abstract ：
Eddy current testing (ECT), as a noncontact and nondestructive testing (NDT) technology, has been widely applied to various industrial fields for pipeline defect detection. In this article, a combined defect parameter estimation method using a novel arc-shaped differential probe with orthogonal receivers is proposed to detect circumferential defects in pipelines. The sensitivity between coils is analyzed to optimize the probe parameters. The scanning signals of defects on the complex plane are characterized by the shell curves (SCs), and a Lissajous curve (LC) model is employed for curve fitting. It is observed that a monotonous relationship holds between fitting parameters and defect dimensions. From the fit scanning curve, the defect depth and length can be estimated by employing the K-nearest neighbors (KNNs) algorithm. Experiments have been conducted to verify the proposed defect parameter estimation method by testing aluminum pipelines with cracks. The experimental results show that the estimation of defect parameters achieves an average accuracy (ACC) of more than 96.78% for various dimensions of cracks.
Keyword ：
Coils Coils Conductivity Conductivity Defect detection Defect detection Defect testing Defect testing eddy-current testing (ECT) eddy-current testing (ECT) estimation method estimation method Feature extraction Feature extraction Permeability Permeability pipeline inspection pipeline inspection Pipelines Pipelines Probes Probes Receivers Receivers Sensitivity Sensitivity sensor design sensor design Testing Testing
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| GB/T 7714 | Zeng, Huade , Huang, Ruochen , Xia, Zihan et al. A Novel Pipeline Defect Detection Method Using an Arc-Shaped Eddy Current Probe [J]. | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2025 , 74 . |
| MLA | Zeng, Huade et al. "A Novel Pipeline Defect Detection Method Using an Arc-Shaped Eddy Current Probe" . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 74 (2025) . |
| APA | Zeng, Huade , Huang, Ruochen , Xia, Zihan , Lin, Qiongbin , Yin, Wuliang . A Novel Pipeline Defect Detection Method Using an Arc-Shaped Eddy Current Probe . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2025 , 74 . |
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Battery state-of-health (SOH) estimation is an effective approach to evaluate battery reliability and reduce maintenance costs for battery-based backup power supply systems. This paper proposes a novel SOH estimation method for batteries, which only uses the response characteristics of load surges and is, therefore, non-destructive to the estimated battery and its system. The discrete wavelet transform (DWT) method based on multi-resolution analysis (MRA) is used for wavelet energy features extraction, and the fuzzy cerebellar model neural network (FCMNN) is introduced to design the battery SOH estimator. The response voltage signals to load surges are used in the training and detection process of the FCMNN. Compared to conventional methods, the proposed method only exploits characteristics of online response signals to the inrush currents rather than injecting interference signals into the battery. The effectiveness of the proposed method is validated by detailed simulation analysis and experiments.
Keyword ：
dynamical battery state-of-health estimation dynamical battery state-of-health estimation fuzzy cerebellar model neural network fuzzy cerebellar model neural network non-invasive detection non-invasive detection response characteristic of load surges response characteristic of load surges wavelet transform wavelet transform
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| GB/T 7714 | Fan, Yuhang , Lin, Qiongbin , Huang, Ruochen . Non-Invasive Method-Based Estimation of Battery State-of-Health with Dynamical Response Characteristics of Load Surges [J]. | ENERGIES , 2024 , 17 (3) . |
| MLA | Fan, Yuhang et al. "Non-Invasive Method-Based Estimation of Battery State-of-Health with Dynamical Response Characteristics of Load Surges" . | ENERGIES 17 . 3 (2024) . |
| APA | Fan, Yuhang , Lin, Qiongbin , Huang, Ruochen . Non-Invasive Method-Based Estimation of Battery State-of-Health with Dynamical Response Characteristics of Load Surges . | ENERGIES , 2024 , 17 (3) . |
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Eddy-current (EC) testing is one of the contactless nondestructive testing techniques for the physical property measurement (e.g., thickness, electrical conductivity, and magnetic permeability) of steel plates in various industrial applications. In this study, an estimation method of plate thickness and permeability is proposed using the triple-frequency coil inductance with probe lift-off. The functional relationship between the plate properties, probe lift-off, and characteristics of coil inductance is indicated by the simplified analytical model, which is employed for the initial guesses of optimization. The proposed method can decrease the influence of the local minimum on property estimation. Numerical simulations and experiments have been performed to evaluate the proposed method with various plate properties and probe lift-off. Compared with the estimation results without the appropriate initial guesses, the proposed method is more robust and accurate for various cases, with a relative estimation error smaller than 8%.
Keyword ：
Analytical model Analytical model Analytical models Analytical models eddy-current (EC) testing eddy-current (EC) testing Estimation Estimation Frequency estimation Frequency estimation Inductance Inductance Mathematical models Mathematical models Permeability Permeability permeability measurement permeability measurement probe lift-off probe lift-off Probes Probes thickness measurement thickness measurement
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| GB/T 7714 | Xia, Zihan , Huang, Ruochen , Lu, Mingyang et al. Thickness and Permeability Estimation of Metallic Plates by Triple-Frequency Eddy-Current Testing With Probe Lift-Off [J]. | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2024 , 73 . |
| MLA | Xia, Zihan et al. "Thickness and Permeability Estimation of Metallic Plates by Triple-Frequency Eddy-Current Testing With Probe Lift-Off" . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 73 (2024) . |
| APA | Xia, Zihan , Huang, Ruochen , Lu, Mingyang , Yin, Wuliang . Thickness and Permeability Estimation of Metallic Plates by Triple-Frequency Eddy-Current Testing With Probe Lift-Off . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2024 , 73 . |
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Advanced wind power prediction technique plays an essential role in the stable operation of the grid with largescale grid integration of wind power. Most research focuses on distance-based static classification where the subjective nature of initial center selection increases the uncertainty of the prediction. And the data classification on a daily basis neglects the potentially significant climate changes at smaller time scales. To address these issues, the improved snake optimization-long short-term memory (ISO-LSTM) model with Gaussian mixture model (GMM) clustering is proposed to forecast wind power from an adaptive perspective. By exploiting the merits of the probabilistic classification, the K-means optimized GMM clustering enables an appropriate feature modelling for substantial climate changes at smaller time scales. Then the ISO algorithm exhibits higher search accuracy and is better suited for finding hyperparameter combinations for LSTM neural networks. The data from the National Aeronautics and Space Administration (NASA) of the US is used to validate the effectiveness of the proposed method. Compared to the traditional K-means clustering, the K-means optimized GMM clustering has increased accuracy by 2.63 %. Simultaneously, with the adoption of the enhanced ISO algorithm, the accuracy further increases by 7.27 %. Different existing models have also been tested; it shows that the proposed model demonstrates higher prediction accuracy.
Keyword ：
Gaussian mixture model Gaussian mixture model Improved snake optimization Improved snake optimization K -means algorithm K -means algorithm Long short-term memory network Long short-term memory network Probabilistic classification Probabilistic classification
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| GB/T 7714 | Zhou, Yu , Huang, Ruochen , Lin, Qiongbin et al. Probabilistic optimization based adaptive neural network for short-term wind power forecasting with climate uncertainty [J]. | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS , 2024 , 157 . |
| MLA | Zhou, Yu et al. "Probabilistic optimization based adaptive neural network for short-term wind power forecasting with climate uncertainty" . | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 157 (2024) . |
| APA | Zhou, Yu , Huang, Ruochen , Lin, Qiongbin , Chai, Qinqin , Wang, Wu . Probabilistic optimization based adaptive neural network for short-term wind power forecasting with climate uncertainty . | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS , 2024 , 157 . |
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Abstract ：
Eddy -current (EC) testing is one of the contactless nondestructive testing techniques that has been frequently applied to evaluate the defects on metallic objects. In this paper, an estimation method of defect depth on metallic plates is proposed based on the approximate analytical model. An EC coil array sensitive to various defect orientation is designed to scan the plate surface. The independent inductance from various ferritecore coil pairs can be found by the approximate analytical model. The influence of defect on measurements, including depth and edges, is regarded as the variation of probe lift-off in the tested region, defined as the equivalent lift-off. Based on the approximate analytical model, when defect edges have relatively smaller influence, the defect depth on the plate surface can be approximately obtained by estimating the equivalent probe lift-off through optimization. In numerical simulations and experiments, the proposed method is evaluated by testing the aluminum and stainless -steel plates with cracks by the coil array. The reconstructed equivalent lift-off distribution closely relates to the position and dimensions of defects on plates.
Keyword ：
Analytical model Analytical model Defect testing Defect testing Eddy current testing Eddy current testing Metallic plate testing Metallic plate testing
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| GB/T 7714 | Xia, Zihan , Huang, Ruochen , Shao, Yuchun et al. Estimation of defect depth on plates by eddy-current coil array [J]. | SENSORS AND ACTUATORS A-PHYSICAL , 2024 , 369 . |
| MLA | Xia, Zihan et al. "Estimation of defect depth on plates by eddy-current coil array" . | SENSORS AND ACTUATORS A-PHYSICAL 369 (2024) . |
| APA | Xia, Zihan , Huang, Ruochen , Shao, Yuchun , Bai, Xue , Yin, Wuliang . Estimation of defect depth on plates by eddy-current coil array . | SENSORS AND ACTUATORS A-PHYSICAL , 2024 , 369 . |
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Bi-directional DC-AC converters are widely used in the field of electric vehicle-to-grid. However, the inductance of the grid-side interface filter is affected by the length of the grid connection and the power level, which presents nonlinear characteristics. This poses challenges for high-performance grid waveform control. In this paper, a modeling method for bi-directional DC-AC grid-connected converters based on type-II T-S fuzzy models is proposed, and the corresponding type-II T-S fuzzy control strategy is designed to address the parameter uncertainty and non-linearity issues. Simulation results show that type-II T-S fuzzy control offers superior control performance and better current waveform quality compared to type-I T-S fuzzy control under uncertainty parameter conditions. The effectiveness of the proposed strategy is further validated through a 1 kW prototype of a bi-directional DC-AC converter.
Keyword ：
DC-AC inverters DC-AC inverters dual-buck bi-directional inverter dual-buck bi-directional inverter model building model building nonlinear inductance nonlinear inductance type-II T-S fuzzy model type-II T-S fuzzy model
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| GB/T 7714 | Chen, Zhihua , Huang, Ruochen , Lin, Qiongbin et al. Nonlinear Modeling and Control Strategy Based on Type-II T-S Fuzzy in Bi-Directional DC-AC Converter [J]. | ELECTRONICS , 2024 , 13 (9) . |
| MLA | Chen, Zhihua et al. "Nonlinear Modeling and Control Strategy Based on Type-II T-S Fuzzy in Bi-Directional DC-AC Converter" . | ELECTRONICS 13 . 9 (2024) . |
| APA | Chen, Zhihua , Huang, Ruochen , Lin, Qiongbin , Yu, Xinhong , Dan, Zhimin . Nonlinear Modeling and Control Strategy Based on Type-II T-S Fuzzy in Bi-Directional DC-AC Converter . | ELECTRONICS , 2024 , 13 (9) . |
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The forward model of eddy-current (EC) testing can predict the measurement signals, provided the known measurement conditions and physical properties of test pieces. In the analytical forward model, the test pieces are characterized by the reflection coefficient (RC), which describes the reflection characteristics of test pieces regarding incident electromagnetic (EM) waves and determines the phase of EC signals. The RC is calculated analytically with boundary conditions, which is sophisticated for analyzing complex geometries. In this study, the analytical model of plate and pipe testing using second-order vector potential (SOVP) is investigated. It is found that the numerical RC can be obtained from the source EM field in the air and counterparts in the presence of test pieces. In numerical simulations, the numerical RC is compared with the analytical RC for plate and pipe in a 2-D axisymmetric model. In the 3-D model, the calculated numerical RC corresponds to the dimensions of the measured plate and pipe with defects. In both 2-D and 3-D models, the phase of coil inductance from the numerical RC aligns with the finite-element solutions. It is validated that the RC is a characteristic of test pieces independent of the source field.
Keyword ：
Analytical model Analytical model Coils Coils eddy-current (EC) testing eddy-current (EC) testing electromagnetic (EM) sensing electromagnetic (EM) sensing Finite element analysis Finite element analysis Inductance Inductance Mathematical models Mathematical models Numerical models Numerical models numerical solution numerical solution reflection coefficient (RC) reflection coefficient (RC) Solid modeling Solid modeling Testing Testing
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| GB/T 7714 | Xia, Zihan , Bai, Xue , Huang, Ruochen et al. Insight Into the Eddy-Current Reflection Coefficient of Plates and Pipes [J]. | IEEE TRANSACTIONS ON MAGNETICS , 2024 , 60 (11) . |
| MLA | Xia, Zihan et al. "Insight Into the Eddy-Current Reflection Coefficient of Plates and Pipes" . | IEEE TRANSACTIONS ON MAGNETICS 60 . 11 (2024) . |
| APA | Xia, Zihan , Bai, Xue , Huang, Ruochen , Lu, Mingyang , Yin, Wuliang . Insight Into the Eddy-Current Reflection Coefficient of Plates and Pipes . | IEEE TRANSACTIONS ON MAGNETICS , 2024 , 60 (11) . |
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The material quality of metallic cylinders including microstructure is reflected in their physical properties. Eddy current testing techniques play an important role in the measurement of metallic cylinder measurement. In this paper, a cylinder radius and permeability estimation method is proposed based on the combined analytical and optimisation method. The Dodd and Deeds analytical model has been first simplified, which suggests an approximate linear relationship between the cylinder radius, permeability and coil inductance. Based on the proposed relation, the pre-estimated radius and permeability are used as the initial guess for the modified Newton-Raphson algorithm to solve the least squares problem between the measured and calculated coil inductance spectra. This method avoids the local minimum issue that occurs otherwise, to some extent. The effectiveness of the proposed method has been evaluated by numerical simulations and experiments, which indicates that fast estimation can be achieved with high accuracy.
Keyword ：
Cylinder measurement Cylinder measurement Eddy current testing Eddy current testing Electromagnetic sensing Electromagnetic sensing
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| GB/T 7714 | Huang, Ruochen , Xia, Zihan , Lu, Mingyang et al. Model-based cylinder radius and permeability estimation using eddy current testing [J]. | MEASUREMENT , 2023 , 220 . |
| MLA | Huang, Ruochen et al. "Model-based cylinder radius and permeability estimation using eddy current testing" . | MEASUREMENT 220 (2023) . |
| APA | Huang, Ruochen , Xia, Zihan , Lu, Mingyang , Zhang, Zili , Lin, Qiongbin , Yin, Wuliang . Model-based cylinder radius and permeability estimation using eddy current testing . | MEASUREMENT , 2023 , 220 . |
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The wide use of Li-ion batteries in various industrial applications has led to a focus on their health status. This paper proposes a novel fast SOH estimation method by combining the response characteristics and the Genetic Algorithm-Extreme Learning Machine (GA-ELM) model. Based on the theoretical manipulations, the dynamic response due to the inrush current has been derived and shows that the response curve due to the inrush current contains information related to the battery SOH. Since there is no explicit relation, GA-ELM with the wavelet transform method is used to extract effective dynamic response voltage data features to estimate SOH without manually adjusting parameters. Experiment results validate that the fast estimation of the battery SOH can be achieved by using the proposed method with a resolution accuracy of 3% in any state of charge (SOC). Compared with other models by the crossover analysis, the method is efficient for feature extraction while providing better performance. This paper aims to highlight the use of load surges response characteristics-to estimate SOH with no additional sensors. It shows the application has a good prospect in the electric vehicles (EVs). © 2023 IEEE.
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| GB/T 7714 | Fan, Yuhang , Lin, Qiongbin , Huang, Ruochen et al. Fast Battery SOH Estimation Based on Response Characteristics of Load Surges and GA-ELM [C] . 2023 . |
| MLA | Fan, Yuhang et al. "Fast Battery SOH Estimation Based on Response Characteristics of Load Surges and GA-ELM" . (2023) . |
| APA | Fan, Yuhang , Lin, Qiongbin , Huang, Ruochen , Lin, Yufeng , Wang, Jia , Huang, Qingrong . Fast Battery SOH Estimation Based on Response Characteristics of Load Surges and GA-ELM . (2023) . |
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To reduce the current stress in the whole operating area and improve the dynamic performance switching between different operating points of the dual-active-bridge (DAB) converter, a bidirectional power control (BPC-GCSO) scheme based on the global current stress optimization is proposed in this paper. The global current stress optimal solution (GCSO) set is first derived for the DAB converter, which enables the DAB converter to realize the minimum current stress at any operating point. Then, a virtual direct power control method is introduced based on the GCSO scheme and a bidirectional power control (BPC) strategy is designed. To validate the proposed scheme, a simulation experimental environment is built on the MATLAB/Simulink platform, and the simulation results prove the feasibility of the proposed method. © 2023 IEEE.
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| GB/T 7714 | Gong, Xingyang , Fu, Xiaofeng , Cai, Fenghuang et al. A Bidirectional Power Control Scheme Based on Global Current Stress Optimization for Dual Active Bridge DC-DC Converters [C] . 2023 : 865-870 . |
| MLA | Gong, Xingyang et al. "A Bidirectional Power Control Scheme Based on Global Current Stress Optimization for Dual Active Bridge DC-DC Converters" . (2023) : 865-870 . |
| APA | Gong, Xingyang , Fu, Xiaofeng , Cai, Fenghuang , Huang, Ruochen . A Bidirectional Power Control Scheme Based on Global Current Stress Optimization for Dual Active Bridge DC-DC Converters . (2023) : 865-870 . |
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