Iet Science Measurement & Technology最新文献

A New Box-Counting-Based-Image Fractal Dimension Estimation Method for Discharges Recognition on Polluted Insulator Model

IF 1.4 4区工程技术

Iet Science Measurement & Technology Pub Date : 2025-03-28 DOI: 10.1049/smt2.70002

Imene Ferrah, Youcef Benmahamed, Hayder K. Jahanger, Madjid Teguar, Omar Kherif

{"title":"A New Box-Counting-Based-Image Fractal Dimension Estimation Method for Discharges Recognition on Polluted Insulator Model","authors":"Imene Ferrah, Youcef Benmahamed, Hayder K. Jahanger, Madjid Teguar, Omar Kherif","doi":"10.1049/smt2.70002","DOIUrl":"https://doi.org/10.1049/smt2.70002","url":null,"abstract":"This study presents an innovative approach to identify electrical discharges by proposing an algorithm incorporating fractal geometry concepts. Based on the box-counting method, our algorithm is developed to detect and track the progression of electrical discharges leading to flashover. This is achieved by calculating the fractal dimension of discharge images which are visual representations of electrical activity recorded during experiments on a planar glass insulator model subjected to different levels of contamination. First, the RGB image is transformed into a binary matrix using the NIBLAK binarization algorithm. Subsequently, the acquired matrix is converted into a square matrix, and its fractal dimension is computed for various resolutions. The final fractal dimension of the image is calculated using the least squares method. This latter is applied to the fractal dimensions (FDs) across all resolutions. According to our algorithm, discharge images have FD values ranging from 1.15 to 1.25. FD increases are observed with applied voltage and non-soluble deposit density (NSDD). The density and activity of discharges also increase with FD. Specifically, a discharge is considered “no-arc” if FD is less than 1.2 and “arc” otherwise.","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143726772","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}

引用次数: 0

Research on Recognition of Multiple Partial Discharge Sources in Switchgear Based on the Combination of GST-TEV and ResNet-18 基于 GST-TEV 和 ResNet-18 组合的开关设备多重局部放电源识别研究

IF 1.4 4区工程技术

Iet Science Measurement & Technology Pub Date : 2025-03-20 DOI: 10.1049/smt2.70003

Feng Wang, Ning Wang, Lipeng Zhong, She Chen, Qiuqin Sun, Xutao Han, Puming Xu, Sanwei Liu, Tao Peng, Ying Yan, Xiao Deng

{"title":"Research on Recognition of Multiple Partial Discharge Sources in Switchgear Based on the Combination of GST-TEV and ResNet-18","authors":"Feng Wang, Ning Wang, Lipeng Zhong, She Chen, Qiuqin Sun, Xutao Han, Puming Xu, Sanwei Liu, Tao Peng, Ying Yan, Xiao Deng","doi":"10.1049/smt2.70003","DOIUrl":"https://doi.org/10.1049/smt2.70003","url":null,"abstract":"Switchgear can develop insulation defects due to electrical, thermal, and chemical stresses during manufacturing or prolonged operation. Moreover, as voltage levels rise, multiple insulation defects can coexist within the switchgear. Traditional partial discharge (PD) recognition methods often suffer from poor generalisation and low accuracy, limiting their practical applications. This paper proposes a method to identify multiple PD sources by combining generalised S-transform (GST) with the ResNet-18 network. PD tests confirm that the designed monitoring device effectively detects transient earth voltage (TEV) signals from diverse single and mixed insulation defects. Given the non-stationary nature of TEV signals, this paper employs the generalised S-transform (GST) for time–frequency analysis. The findings demonstrate that the GST method offers high time–frequency resolution, significantly improving the feature extraction of various partial discharge sources. Additionally, deep learning algorithms are employed to classify the time–frequency image dataset derived from GST-TEV. The results demonstrate that, compared to traditional manual feature extraction methods, the ResNet-18 network efficiently extracts GST-TEV features from both single and mixed partial discharge sources, achieving a recognition accuracy of 99.41%. This study provides new methods and theoretical support for identifying multiple partial discharge sources in switchgear.","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689346","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}

引用次数: 0

Research on 1000 V/20 Hz two-stage excitation induction voltage divider

IF 1.4 4区工程技术

Iet Science Measurement & Technology Pub Date : 2025-02-26 DOI: 10.1049/smt2.70001

Hao Liu, Xiong Gu, Minrui Xu, Feng Zhou, Teng Yao, Bo Xiong, Xue Wang

{"title":"Research on 1000 V/20 Hz two-stage excitation induction voltage divider","authors":"Hao Liu, Xiong Gu, Minrui Xu, Feng Zhou, Teng Yao, Bo Xiong, Xue Wang","doi":"10.1049/smt2.70001","DOIUrl":"https://doi.org/10.1049/smt2.70001","url":null,"abstract":"The 20 Hz low-frequency transmission technology is a new type of AC transmission technology based on fully controlled power electronic devices, which has gradually been applied in construction around the world. However, it is difficult to develop high-precision low-frequency standard transformers, resulting in a blank system for tracing the values of low-frequency transformers. Inductive voltage dividers have many advantages such as high accuracy and stability, so low-frequency voltage ratio standards are suitable for using inductive voltage dividers as the source of traceability. This article proposes the principle of two-stage excitation and develops a two-stage excitation low-frequency induction voltage divider. Based on the finite element method, a three-dimensional model was established to simulate and optimize the internal electromagnetic field and structure. Designed a closed shielded iron core structure, which has achieved good magnetic field shielding effect; In order to reduce the impact of capacitive leakage, the proportional winding adopts a coaxial cable 10 wire parallel winding method to achieve outer equipotential shielding. Based on the reference potential method, this device is calibrated for errors. The error measurement device uses a lock-in amplifier SR850. According to the error calibration results, the 10 stage transformation ratio error of the 1 kV two-stage excitation low-frequency induction voltage divider is better than 1 × 10−7.","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143497003","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}

引用次数: 0

Research on Arc Ignition Characteristics of Cables’ Insulation Under Different Temperatures Considering Thickness

IF 1.4 4区工程技术

Iet Science Measurement & Technology Pub Date : 2025-02-21 DOI: 10.1049/smt2.70005

Jingli Liu, Yuyao Zhong, Yu Shan, Qing Xie, Yan Li

{"title":"Research on Arc Ignition Characteristics of Cables’ Insulation Under Different Temperatures Considering Thickness","authors":"Jingli Liu, Yuyao Zhong, Yu Shan, Qing Xie, Yan Li","doi":"10.1049/smt2.70005","DOIUrl":"https://doi.org/10.1049/smt2.70005","url":null,"abstract":"Internal arc faults in cables are a significant cause of cable fires, with the cable temperature being time-dependent due to varying loading levels. Thus, it is necessary to study the characteristics of arc-induced cable ignition considering the influence of temperature, which have been rarely addressed in previous studies. In this paper, an experimental platform for alternating current arc generation is established. This platform records and analyses the arc development's morphological characteristics, the voltage and current waveform changes at both electrode ends, and the electrodes' temperature distribution. Moreover, two types of cable insulation materials, i.e. cross-linked polyethylene (XLPE) and polyvinyl chloride (PVC) with different thickness and temperature, are tested to study the arc-induced ignition characteristics of cables. By comparing ignition times and combustion intensities within the same time frame, the characteristics of arc-induced ignition are analysed. It can be concluded that the insulation temperature accelerates the arc-ignition process significantly. For XLPE, the ignition time under 70°C can be reduced around 11%. Thick XLPE (1.6 mm) can delay the ignition time up to 1.5 times compared with thin one (0.8 mm). PVC exhibits similar behaviour but demonstrates greater resistance to arc-induced ignition than XLPE.","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455910","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}

引用次数: 0

Simulation of electric field distribution of gas insulated switchgear considering metal tip defect locations and structural parameters

IF 1.4 4区工程技术

Iet Science Measurement & Technology Pub Date : 2025-02-20 DOI: 10.1049/smt2.70000

Wenhao Gao, Zhaoyang Kang, Kai Nie, Ze Li, Fuqiang Ren, Hongru Zhang, Fanbo Meng, Qingquan Li, Simeng Li

{"title":"Simulation of electric field distribution of gas insulated switchgear considering metal tip defect locations and structural parameters","authors":"Wenhao Gao, Zhaoyang Kang, Kai Nie, Ze Li, Fuqiang Ren, Hongru Zhang, Fanbo Meng, Qingquan Li, Simeng Li","doi":"10.1049/smt2.70000","DOIUrl":"https://doi.org/10.1049/smt2.70000","url":null,"abstract":"Metal tip defect is a typical insulation defect in gas insulated switchgear (GIS). Simulation research on the defect under multi-physical field coupling was conducted in order to explore the realistic electric field distribution. The results of the simulation were confirmed by a partial discharge experiment. On the one hand, the influence of defect location and structural parameters on electric field distribution was investigated in the established defect model. On the other hand, the partial discharge experimental platform was built to obtain the initial voltage of partial discharge under this defect. The results show that the presence of the defects can increase the electric field distortion by several-fold or more in the surrounding electric field. The closer the defect on the outside of the conductor is to the basin-type insulator, the lower the electric field distortion is around the conductor. However, the opposite is true on the inside of the shell. The change in the top radius of the defect has the greatest impact on the electric field distribution. The experimental results verify the validity of the simulation model. This study augments the research on insulation defects in GIS, offering a valuable reference for the manufacturing and installation of GIS.","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143456047","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}

引用次数: 0

Long Short-Term Memory Network for Co-Frequency Co-Time Full-Duplex Digital Domain Interference Suppression

IF 1.4 4区工程技术

Iet Science Measurement & Technology Pub Date : 2025-02-17 DOI: 10.1049/smt2.70004

Yuting Zhang, Chao Ma, Xiaoyan Gao, Yuhan Huang

{"title":"Long Short-Term Memory Network for Co-Frequency Co-Time Full-Duplex Digital Domain Interference Suppression","authors":"Yuting Zhang, Chao Ma, Xiaoyan Gao, Yuhan Huang","doi":"10.1049/smt2.70004","DOIUrl":"https://doi.org/10.1049/smt2.70004","url":null,"abstract":"The co-frequency co-time full duplex (CCFD) system transmits and receives signals at the same frequency simultaneously, which can effectively improve the communication spectrum utilization of satellite and solve the problem of satellite frequency resource constraint. However, due to a large number of devices in a relatively small space, there is strong self-interference between transmitting and receiving antennas. Besides, the received signal intensity is not stable due to other factors such as multipath effect, electromagnetic interference, and so on. To solve this problem, this paper proposes a machine learning method for self-interference suppression of CCFD systems in digital domain. A signal sequence decomposition method based on the number of poles is used to solve the problem of insufficient suppression of nonlinear interference signal caused by signal strength instability. By using Hilbert transform, the input signal dimension of machine learning is reduced, which is to solve the high computational complexity. The short-term and long-term neural network architecture is adopted to predict and reconstruct the interference, and Bayesian optimization method is used to optimize the hyperparameters of the network, and introduces the acquisition function into the loss function, to improve the comprehensive training optimization of machine learning networks. The experimental results show that the proposed algorithm can effectively analyze and suppress the interference signal, and the interference suppression capability is improved by 10.7 dB compared with the traditional Long Short-Term Memory algorithm and 21.1 dB compared with the Least Mean Square algorithm. The algorithm presented in this paper is significant for the application of CCFD system on satellite.","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.70004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143431136","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}

引用次数: 0

Self-balancing 20 Hz current comparator

IF 1.4 4区工程技术

Iet Science Measurement & Technology Pub Date : 2025-02-11 DOI: 10.1049/smt2.12232

Xue Wang, He Li, Hao Liu, Minrui Xu, Teng Yao, Bo Xiong

{"title":"Self-balancing 20 Hz current comparator","authors":"Xue Wang, He Li, Hao Liu, Minrui Xu, Teng Yao, Bo Xiong","doi":"10.1049/smt2.12232","DOIUrl":"https://doi.org/10.1049/smt2.12232","url":null,"abstract":"The low-frequency transformer is a key measurement equipment for low-frequency transmission engineering; the accuracy level of the low-frequency transformer is generally difficult to be better than 0.05% due to the influence of core depth saturation at low frequency. Explore low-frequency current proportional converters with higher accuracy, such as zero-flux current transformers or compensated current comparators, because the current proportional standards of the above principles all work in the state of zero magnetic flux of the iron core, which is less affected by frequency and can be used to trace the value of low-frequency current proportional value. In view of this, a self-balancing low-frequency current comparator was developed to compensate the excitation current of the iron core by using electronic circuits. In this paper, the basic principle of this low-frequency self-balancing current comparator is expounded, its error performance is analysed theoretically, and the error calibration test is carried out. On the surface of the test results, the accuracy of the low-frequency self-balancing current comparator meets the requirements of class 0.001, which can be used for the traceability of the measurement value of low-frequency current.","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12232","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380896","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}

引用次数: 0

Efficient hysteresis characterization and prediction in 3D-printed magnetic materials using deep learning

IF 1.4 4区工程技术

Iet Science Measurement & Technology Pub Date : 2025-02-06 DOI: 10.1049/smt2.12233

Michele Lo Giudice, Alessandro Salvini, Marco Stella, Fausto Sargeni, Silvia Licciardi, Guido Ala, Pietro Romano, Vittorio Bertolini, Antonio Faba

{"title":"Efficient hysteresis characterization and prediction in 3D-printed magnetic materials using deep learning","authors":"Michele Lo Giudice, Alessandro Salvini, Marco Stella, Fausto Sargeni, Silvia Licciardi, Guido Ala, Pietro Romano, Vittorio Bertolini, Antonio Faba","doi":"10.1049/smt2.12233","DOIUrl":"https://doi.org/10.1049/smt2.12233","url":null,"abstract":"This research proposes a data processing pipeline employing Fourier analysis and deep neural networks to replicate the phenomenon of magnetic hysteresis, in particular frequency components derived from experimental data gathered using a newly developed 3D-printed material. The characterisation of hysteresis is essential for enhancing material performance and constructing precise models to anticipate material behaviour under diverse operating circumstances, especially in 3D-printed materials where properties can be meticulously regulated to ensure successful applications. The experimental signals were used for training and testing a neural network, exploiting Fourier coefficients to condense signals into the frequency components. This compression extracts fewer parameters and thus reduces and optimises the resources required by the neural network. It also improves the generalisation performance of the model, allowing it to make more accurate predictions on unseen data. This therefore optimises traditional modelling that requires a complete representation of hysteresis loops in the time domain, which must be addressed with the use of complex neural networks and large datasets. The experimental results show lower computational costs during the prediction process and a smaller memory footprint. Furthermore, the proposed model is easily adaptable for the loss estimation in different types of materials and input signals.","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143186379","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}

引用次数: 0

Mechanical performance degradation modelling and prognosis method of high-voltage circuit breakers considering censored data

IF 1.4 4区工程技术

Iet Science Measurement & Technology Pub Date : 2025-01-08 DOI: 10.1049/smt2.12235

Hongshan Zhao, Yanan Qian, Yuehan Qu

{"title":"Mechanical performance degradation modelling and prognosis method of high-voltage circuit breakers considering censored data","authors":"Hongshan Zhao, Yanan Qian, Yuehan Qu","doi":"10.1049/smt2.12235","DOIUrl":"https://doi.org/10.1049/smt2.12235","url":null,"abstract":"Due to the untimely deployment of sensors and the early retirement of high-voltage circuit breakers, life-cycle data is missing, leading to an inability to accurately predict the mechanical performance degradation trend. A new modelling and prediction method of mechanical performance degradation of high-voltage circuit breakers considering censored data was proposed. Firstly, multiple imputation by chained equations was used to impute the missing values in the dataset of circuit breaker closing time, creating an interpolated dataset. Secondly, the Nadaraya–Watson kernel regression method was employed to smoothly estimate the interpolated dataset and eliminate data measurement errors. Then, the functional principal component analysis method was utilized to extract the common degradation trend component and deviation component to construct the degradation model. Finally, Bayesian inference was applied to dynamically update the degradation model parameters and predict the degradation trend of the high-voltage circuit breaker. The results showed that the proposed method was capable of achieving better interpolation accuracy under the condition of different closing time censored data of high-voltage circuit breakers. Moreover, as the degradation progressed, the dynamic prediction effect improved. The research can be used to provide an effective decision-making basis for the operation and maintenance strategy of high-voltage circuit breakers.","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12235","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113102","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}

引用次数: 0

A calibration approach for compensating hysteresis and nonlinearity error in an MEMS based instrument for porewater pressure monitoring

IF 1.4 4区工程技术

Iet Science Measurement & Technology Pub Date : 2024-12-30 DOI: 10.1049/smt2.12234

Milad Barzegar, Saba Gharehdash, Wendy Timms

{"title":"A calibration approach for compensating hysteresis and nonlinearity error in an MEMS based instrument for porewater pressure monitoring","authors":"Milad Barzegar, Saba Gharehdash, Wendy Timms","doi":"10.1049/smt2.12234","DOIUrl":"https://doi.org/10.1049/smt2.12234","url":null,"abstract":"Micro-electro-mechanical system (MEMS) technology is becoming increasingly popular in geotechnical and hydrological monitoring due to their distinct features, including its small size, low cost, low energy consumption, and resistance to vibration shock. Due to the nature of design, they exhibit a series of errors, and most importantly, hysteresis and nonlinearity, which should be compensated before any practical application in order to achieve the highest degree of accuracy and precision. This article proposes a practical approach to enhance the accuracy of a newly developed MEMS instrument for groundwater monitoring. The hysteresis and nonlinearity errors were compensated using an integrated two-step approach with an optimized Preisach model and an optimized spline approximation, respectively. A hybrid differential evolution-hill climbing algorithm was utilized to achieve optimum models. This optimization algorithm integrates global and local search, offering higher accuracy and computational stability with a lower calibration point requirement. Analysing the results indicates that the nonlinearity error shows an improvement of more than 94% and hysteresis decreased up to 67%. The results illustrate that the compensation can be performed very well using the proposed methodology with lower uncertainty, mean square error, and standard deviation compared to non-optimized models.","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":"19 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12234","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120973","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}

引用次数: 0