Riyadh Rouabhi, Abderrahim Zemmit, Abdelghafour Herizi, Salim Djeriou, Saud Alotaibi, Thabet Alzahrani, Baseem Khan, Sherif S. M. Ghoneim
{"title":"New Cascade Control Based on Type 2 Fuzzy Controllers Applied to a DC Motor","authors":"Riyadh Rouabhi, Abderrahim Zemmit, Abdelghafour Herizi, Salim Djeriou, Saud Alotaibi, Thabet Alzahrani, Baseem Khan, Sherif S. M. Ghoneim","doi":"10.1049/smt2.70029","DOIUrl":"10.1049/smt2.70029","url":null,"abstract":"<p>This paper presents a new cascade control based on type 2 fuzzy logic applied to direct current motors to regulate the mechanical power produced. The study aims to eliminate significant drawbacks of cascade control based on PI controllers to ensure robustness and stability, achieving precise and continuous control. A comparison between our cascade control structure based on type 2 fuzzy controllers and other cascade control structures based on PI controllers or type 1 fuzzy controllers is also the focus. The results in the Matlab/Simulink environment demonstrated the effectiveness and best performance of the cascade control based on type 2 fuzzy controllers.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chuansheng Huang, Wensong Jiang, Zai Luo, Xuan Wei, Li Yang, Siqi Feng, Siyuan Zhang, Zilu Zhang
{"title":"LSA-HELM: A Boosted Configuration to Optimize the Reconstruction Model of Dynamic Force on Aviation Composite Skin","authors":"Chuansheng Huang, Wensong Jiang, Zai Luo, Xuan Wei, Li Yang, Siqi Feng, Siyuan Zhang, Zilu Zhang","doi":"10.1049/smt2.70028","DOIUrl":"10.1049/smt2.70028","url":null,"abstract":"<p>The reconstruction of impact forces is critical for structural health monitoring of aero-composite wings. However, due to its complex structure with a limited sensor array, the impact force cannot be accurately determined simply by using an equal-weight transfer function. Meanwhile, the introduction of complex models can improve the accuracy of reconstruction but also increase the computational complexity and running time. To address this issue, a method combining lightweight spatiotemporal attention mechanism and extreme learning machine (ELM) (LSA-HELM) is proposed. By introducing a lightweight spatiotemporal attention mechanism, the input data are weighted to capture key features effectively. Then, the mapping relationship between impact force and strain array is constructed by using Hermite polynomials as the ELM of activation function. The suggested method is verified on an aircraft composite plate. The experimental results show that the peak relative error (PRE) is 4.62% for LSA-HELM, 11.03% for Bayesian, 13.33% for convolutional neural network (CNN), 7.31% for Tiny1DCNN and 9.82% for transformer. It shows under the condition of limited sample number and scarce data features, the proposed method has obvious advantages in terms of reconstruction accuracy and real-time performance and is superior to other methods based on machine learning and traditional analysis methods.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145022154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improvement of Field Uniformity Evaluation in Reverberation Chambers: A Simulation-Based Analysis of EUT Volume and Uniform Region Proportion","authors":"Bowen Li, Guanghui Wei, Lisi Fan, Xiaodong Pan, Zhanliang Zhao, Lijun Song","doi":"10.1049/smt2.70026","DOIUrl":"10.1049/smt2.70026","url":null,"abstract":"<p>Reverberation chambers are essential facilities for electromagnetic compatibility testing, and their internal field uniformity critically determines the accuracy of test results. The current IEC 61000-4-21 standard primarily restricts the size of the Equipment Under Test (EUT) based on its physical volume, recommending it not exceed 8% of the total RC volume. However, this empirical guideline overlooks critical factors such as the EUT's electrical size and geometric shape, leading to significant limitations. This paper employs both the Plane Wave Superposition (PWS) method and full-wave Multi-Level Fast Multipole Method (MLFMM) simulations to systematically investigate the impact of various EUT types on field uniformity. Our findings reveal that an EUT's electrical size and shape are often dominant factors in perturbing the field uniformity, demonstrating that the physical volume ratio criterion alone is insufficient for ensuring test validity. Simulation results show that some EUTs compliant with the 8% rule still cause excessive field degradation, while some larger EUTs do not. The comparison between simulation methods also highlights that full-wave simulations, which capture the complete EUT-cavity coupling, are essential for accurately assessing the actual loading effect. This research provides in-depth analysis and a comprehensive simulation dataset that challenge the adequacy of the current standard.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144935155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nondestructive Magnetisation Estimation for Permanent Magnets Using Autoencoder-Based Dimensionality Reduction","authors":"Kazuki Igarashi, Hidenori Sasaki","doi":"10.1049/smt2.70024","DOIUrl":"10.1049/smt2.70024","url":null,"abstract":"<p>A magnetisation estimation method that uses an autoencoder (AE) model with a convolutional neural network (CNN) is proposed. The proposed method achieved high accuracy even for complex magnetisation distributions, including defective regions. The proposed model improved estimation accuracy by over 50.62% compared to the conventional multi-layer perceptron method. Additionally, the proposed model is effective for multi-output regression problems involving multidimensional vectors. This method enables non-destructive and rapid estimation of internal magnetisation in permanent magnets from external magnetic flux density.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Panagiotis K. Papastamatis, Eleni P. Nicolopoulou, Christos A. Christodoulou, Ioannis F. Gonos
{"title":"Ferrite-Based Approach for Optimising Electrostatic Discharge Generator Waveforms","authors":"Panagiotis K. Papastamatis, Eleni P. Nicolopoulou, Christos A. Christodoulou, Ioannis F. Gonos","doi":"10.1049/smt2.70025","DOIUrl":"10.1049/smt2.70025","url":null,"abstract":"<p>Electrostatic discharges (ESD) remain a significant challenge in electromagnetic compatibility testing due to their high-frequency spectral content and the increasing complexity of modern electronic systems, which incorporate higher integration densities and faster signal transitions. The upcoming revision of the system level ESD immunity testing Standard IEC 61000-4-2 introduces a new parameter regulating the second peak of the ESD current waveform produced by the ESD test generators. This revision is expected to render many existing ESD generators non-compliant, posing a costly issue for testing laboratories as it necessitates expensive modifications or complete generator replacements. To address this challenge, a cost-effective alternative is proposed, utilising ferrite clamps around the grounding cable of the ESD generator to modify the second peak parameters. A workflow-based methodology is introduced, including the identification of non-compliance, evaluation and ranking of ferrite configurations and an investigation of saturation effects to ensure sustained performance. Beyond ensuring compliance, this methodology can also be applied to optimise the second peak waveform parameters, improving the overall match to the ideal waveform of IEC 61000-4-2. By providing an effective and adaptable solution, this approach enhances test accuracy, improves reproducibility and reduces costs associated with equipment replacement and upgrades.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145128971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysing and Investigating the Effect of Heroin Use Disorder for the Changes of Distinguishing Features in Brain Signal Processing","authors":"Atefeh Tobieha, Neda Behzadfar, Mohammadreza Yousefi, Homayoun Mahdavi-Nasab, Ghazanfar Shahgholian","doi":"10.1049/smt2.70023","DOIUrl":"10.1049/smt2.70023","url":null,"abstract":"<p>Heroin use disorder alters brain function, leading to significant changes in EEG signals. This study proposes a novel approach to identify distinguishing EEG features in heroin addicts and healthy individuals by integrating frequency and non-frequency domain features. The methodology consists of four main stages: (1) Preprocessing, where EEG signals undergo a 50 Hz notch filter and a Butterworth low-pass filter (0.4–45 Hz) to remove noise and artefacts; (2) Feature Extraction, in which both frequency-domain features (power spectral density in alpha, beta, theta, and delta bands) and non-frequency-domain features (approximate entropy, permutation entropy, wavelet entropy, and fractal dimensions of Katz and Petrosian) are computed; (3) Feature Selection, where the Davies–Bouldin index is employed to determine the most discriminative features, independent of the number of clusters; and (4) Analysis and Interpretation, which highlights that approximate entropy in the Cz channel and power spectral density in the upper alpha band in the O1 channel provide the highest discriminative power. Compared to previous studies that primarily rely on frequency-domain features, this approach captures both linear and nonlinear dynamics of EEG signals, leading to improved differentiation between addicted and healthy individuals. While the method demonstrates high accuracy, its sensitivity to EEG preprocessing and the need for larger datasets remain key considerations. The findings suggest that this framework can contribute to more effective addiction diagnosis and monitoring, with potential integration into machine learning-based EEG classification models.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Online Measurement Method for Surface Charges of Basin Insulators Based on the Capacitive Electrostatic Probe","authors":"Jiayi Liu, Xiaoqing Xie, Feng Wang, She Chen, Qiuqin Sun, Lipeng Zhong, Zhiyong Hu, Xianhao Fan, Fangwei Liang","doi":"10.1049/smt2.70022","DOIUrl":"10.1049/smt2.70022","url":null,"abstract":"<p>Operation voltage is disconnected before measuring surface charges on gas-insulated transmission line (GIL) insulators (i.e., offline measurement). However, the spontaneous dissipation of surface charges reduces the accuracy. In this paper, the input aperture, the diameter, and the height of sensitive electrodes are optimised by the measurement model of electrostatic probes. The electric field distribution, induced potential, and spatial resolution of probes are analysed. The results indicate that the radius of the input aperture and the height of sensitive electrodes should exceed 3 and 11 mm, respectively, to avoid the shielding effect of the grounded shell. Furthermore, the maximum electric field on the sensitive electrode surface reduces with increased diameters. However, there is a positive correlation with heights. Therefore, the radius of the input aperture is 4 mm. The height and the diameter of sensitive electrodes are 12 mm and 1.6 mm, respectively. For ±320 kV GIL basin insulators, the induced potential distribution measured by probes matches the surface charge, and the spatial resolution is 1091mm<sup>2</sup>. This shows that capacitive electrostatic probes are suitable for the online measurement of surface charges on basin insulators, which provides a reference for the prevention of flashovers resulting from surface charge accumulation on DC GIL insulators.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144705542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Low-Cost Paper-Based Microfluidic POCT Device for In Vitro Glucose Sensing Using Near-Infrared Detection","authors":"Kiana Kahyaei, Adel Pourmand, Farhang Abbasi","doi":"10.1049/smt2.70019","DOIUrl":"10.1049/smt2.70019","url":null,"abstract":"<p>This study presents a low-cost Near Infrared (NIR)-based optical microfluidic POCT device for in vitro glucose detection on a paper-based microfluidic platform. The device is made using a UV-curable resin that has been widely used in the publishing industry, which is proposed as a low-cost alternative to the expensive SU-8 photoresist normally used in photolithography. A 940 nm NIR LED–photodiode system was incorporated to non-invasively measure glucose levels. Glucose concentrations ranging from 62.5 to 1000 mg/dL were tested using only 3 µL of sample. To evaluate the effect of light intensity, three different LED currents (0.5, 0.75 and 1 mA) were applied. Output voltage ranged from approximately 570 to 700 mV and decreased with increasing glucose concentration, following Beer-Lambert's law. Regression models yielded R<sup>2</sup> values above 97%, confirming the device's accuracy and its potential for real-time, disposable, paper-based microfluidic glucose monitoring in point-of-care settings.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144705543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haidong Chen, Haitian Zhou, Xi Dai, Jieyao Yang, Huibing Chen, Shuyou Gan, Mu Tan, Wenquan Che
{"title":"Improved Permittivity Measurement for the Material With Arbitrary Thickness Based on NRW and Adaptivity of Propagation Constant","authors":"Haidong Chen, Haitian Zhou, Xi Dai, Jieyao Yang, Huibing Chen, Shuyou Gan, Mu Tan, Wenquan Che","doi":"10.1049/smt2.70015","DOIUrl":"10.1049/smt2.70015","url":null,"abstract":"<p>An improved Nicolson-Ross-Weir (NRW) transmission/reflection method with the algorithm of adapting propagation constant is proposed in this paper for the permittivity measurement of that material with arbitrary thickness. The basic principle of the NRW method is reviewed and verified first, and the proposed improved method and adaptive algorithm are introduced and simulated for verification using the coaxial line measurement system. Both 2.92 and 7.0 mm measurement systems are fabricated to verify our method by measuring four different materials. By comparing the measured results in existing art and those using the proposed method, as well as the uncertainty and error analyses, one can see that our proposed method has the capability of measuring the permittivity of those materials with arbitrary thickness with high accuracy and efficiency.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"High Impedance Fault Feature Extraction and Detection Method for Distribution Network","authors":"Tong Lu, Sizu Hou","doi":"10.1049/smt2.70020","DOIUrl":"10.1049/smt2.70020","url":null,"abstract":"<p>Traditional high impedance fault (HIF) detection methods face significant technical challenges, including difficulties in feature extraction and limited flexibility in threshold selection, which lead to misjudgment in extreme fault scenarios. Therefore, an HIF detection method for the distribution network is proposed. Firstly, the time-frequency distribution differences of transient signals between the HIF and normal disturbance condition are analysed by Shannon entropy quantization of wavelet packet. On this basis, the transient signal time-frequency waveform block with the lowest similarity is selected as the input sample, and the Dropout in the traditional Vision Transformer (ViT) is replaced by a new regularization method, DropKey, so as to construct a DropKey-Vision Transformer (DVit) classification model, which is suitable for the small-sample scenario of HIF detection for the distribution network. Finally, simulation and experimental test results demonstrate that the proposed method achieves an average accuracy exceeding 99.5% for detecting 10 kΩ HIFs. This represents an improvement of at least 1.5% compared to previous methods and an enhancement of approximately 2% to 7% relative to other techniques. Additionally, the method is applicable to arc grounding, grassland grounding, and pond grounding fault detection, exhibiting high robustness. Results from Grad-CAM visualization further validate the effectiveness and superiority of the proposed method.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144635142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}