Iet Science Measurement & Technology最新文献

{"title":"Partial discharge signal compression reconstruction method based on transfer sparse representation and dual residual ratio threshold","authors":"Shice Zhao,&nbsp;Hongshan Zhao,&nbsp;Ma Libo,&nbsp;Qu Yuehan,&nbsp;Ren Hui","doi":"10.1049/smt2.12148","DOIUrl":"https://doi.org/10.1049/smt2.12148","url":null,"abstract":"<p>Partial discharge (PD) signals have a large amount of data and a low energy proportion of pulse signals, resulting in difficult data transmission and poor reconstruction efficiency. To this end, a PD signal compression reconstruction method based on transfer sparse representation and dual residual ratio threshold (TSR-DRRT) is proposed. TSR-DRRT is centred on the sparse representation (SR) and accurate reconstruction of noisy signals. The intrinsic pulse of PD signals is extracted by signal decomposition, and jointly trained with different types of signals to establish the transfer SR dictionary. The compressed signal accurately retains the essential characteristics of the pulse information by improving the match between the dictionary atoms and the polymorphic PD pulses. To match the transfer SR dictionary, the inner and outer DRRT iteration termination conditions are set adaptively during the reconstruction process based on the correlation difference between the dictionary and signal frames. Independent control of PD pulse recognition and reconstruction accuracy is achieved, and its performance under noisy signals is improved. The results show that the method can achieve high ratio compression and efficient reconstruction of noisy signals. Different types of PD signals can also have high matching accuracy. This method can meet the demand for PD signals compression and transmission to the terminal for accurate reconstruction.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12148","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50155311","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":"Study on characteristics gases of metal protrusions partial discharge in 10-kV air-insulated switchgear","authors":"Qipeng Tan,&nbsp;Bin Song,&nbsp;Linong Wang,&nbsp;Shaocheng Wu","doi":"10.1049/smt2.12147","DOIUrl":"https://doi.org/10.1049/smt2.12147","url":null,"abstract":"<p>Air-insulated switchgear plays an important role in distribution network and partial discharge (PD) is one of the common faults in its operation. The method of gas component analysis, which is to detect chemical gas products, is a novel one to discover PD. In order to study the feasibility of the method, the monitoring experiment of characteristic gases, comprising carbon monoxide (CO), nitrogen dioxide (NO₂), and ozone (O₃), of metal protrusion PD is carried out. This paper conducts the comparative experiments on three main factors affecting PD: voltage, air humidity and degree of protrusion, as well as studies how they affect the formation of characteristic gases. According to the experimental result, higher applied voltage promotes the formation of characteristic gases in the same conditions. In addition, with the increase of humidity from 40% to 75%, the generation of gases is inhibited. Furthermore, when the needle–plate distance is 30 mm, the gas concentration has almost no change within 6 h, which is different from that of 10 mm. In conclusion, the difference in gases concentration reveals the influence of three main factors on the generation of characteristic gases and provides an analytical basis for PD detection by gas composition analysis.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12147","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50141945","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":"Corrigendum to ‘A hierarchical diagnosis method of cable aged segment based on transfer function’","authors":"","doi":"10.1049/smt2.12146","DOIUrl":"https://doi.org/10.1049/smt2.12146","url":null,"abstract":"<p>Hong-shan, Z., Xiao-mei, G., Li-bo, M., Yan, W., Cheng-yan, S., Jie-ying, C.: A hierarchical diagnosis method of cable aged segment based on transfer function. IET Sci. Meas. Technol. 16, 512– 522 (2022). https://doi.org/10.1049/smt2.12125</p><p>In Section 0 Introduction, we missed an important reference ‘Wu Y , Zhang P , Lu G . Detection and location of aged cable segment in underground power distribution system using deep learning approach. IEEE Transactions on Industrial Informatics, 2021, 17(11):7379-7389.’ because of our mistakes. The code in this paper is developed based on the reference and we further make hierarchical diagnosis and consider the influence of cable joints to improve the sensitivity and accuracy of cable aging diagnosis.</p><p>We apologize for this error.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12146","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50124436","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 comparative case study between shallow and deep neural networks in induction motor's fault diagnosis","authors":"Azadeh Gholaminejad,&nbsp;Saeid Jorkesh,&nbsp;Javad Poshtan","doi":"10.1049/smt2.12143","DOIUrl":"https://doi.org/10.1049/smt2.12143","url":null,"abstract":"<p>Here, performance of auto-encoder deep neural networks in detection and isolation of induction motor states (healthy, bearing outer race fault, stator winding short circuit and broken rotor bar) in the presence of unbalanced power supply and electro-pump dry running disturbances is investigated. Easily available three-phase electrical current signals are denoised using independent component analysis, and then the frequency-domain signal is used to train a neural network. A comparison is made between shallow and deep neural networks and also between the conventional structure of deep methods and the encoder–decoder structure in terms of training and test accuracy and robustness. In fact, the depth is increased and the effectiveness is investigated. At the end, it is shown that an encoder–decoder structure leads to the best result in terms of accuracy and robustness. The algorithms are examined experimentally, and the results show that the auto-encoder deep neural network can detect the aforementioned faults with a high reliability in the presence of disturbances.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50138688","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":"Response to corrigendum for ‘Adaptive dynamic surface control of a two-axis gimbal system’","authors":"","doi":"10.1049/smt2.12144","DOIUrl":"https://doi.org/10.1049/smt2.12144","url":null,"abstract":"","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50131421","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":"Corrigendum: ‘Adaptive dynamic surface control of a two-axis gimbal system’","authors":"Mohammad Fathi,&nbsp;Hossein Bolandi","doi":"10.1049/smt2.12142","DOIUrl":"https://doi.org/10.1049/smt2.12142","url":null,"abstract":"<p>An adaptive Dynamic Surface Controller (DSC) is designed for a two-axis gimbal system with actuator dynamics in the presence of parametric uncertainties in [1]. A Lyapunov stability analysis is used to guarantee the convergence of the tracking error to the origin and boundedness of all closed-loop signals. The main objective of this corrigendum is to point out several errors that occurred throughout the paper, resulting in the inaccuracy of the used dynamic model and ineffectiveness of the proposed controller. It should be noted that taking into account the corrections stated in this corrigendum, the main result of the original paper is still valid.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50140086","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":"Research on the evaluation of rectal function after LAR based on CEEMDAN-Fast-ICA algorithm","authors":"Peng Zan,&nbsp;Yutong Zhao,&nbsp;Hua Zhong,&nbsp;Yang Yu,&nbsp;Yuanbo Wang,&nbsp;Yijia Shao,&nbsp;Chunyong Li","doi":"10.1049/smt2.12140","DOIUrl":"https://doi.org/10.1049/smt2.12140","url":null,"abstract":"<p>Rectal cancer is one of the most common lower gastrointestinal diseases worldwide. Currently, the common treatment is low anterior resection (LAR) of the rectum, which preserves the anus of the patient. However, it is easy to cause low anterior resection syndrome after surgery, which has a significant negative impact on the life of patients, and there is no unified evaluation standard for postoperative rectal function. To solve this problem, a multi-sensor fusion rectal information acquisition system is designed in this paper, and a rectal signal processing method is proposed to theoretically evaluate the rectal function of postoperative patients. The method uses the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to decompose the one-dimensional rectal signal to solve the underdetermined ICA problem, uses the Fast independent component analysis (Fast-ICA) to separate the pure rectal signal, uses the wavelet packet to extract features, and uses the particle swarm optimization optimizes support vector machine (PSO-SVM) to classify and evaluate postoperative function. According to the experimental results, the rectal signal preprocessing effect is good, the evaluation prediction rate is 99.5565%, and the algorithm classification results are accurate, which provides a certain preliminary theoretical basis and reference value for the evaluation of rectal function after LAR.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12140","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50125845","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":"Unmanned ground vehicle-unmanned aerial vehicle relative navigation robust adaptive localization algorithm","authors":"Jun Dai,&nbsp;Songlin Liu,&nbsp;Hao Xiangyang,&nbsp;Zongbin Ren,&nbsp;Xiao Yang,&nbsp;Yunzhu Lv","doi":"10.1049/smt2.12141","DOIUrl":"https://doi.org/10.1049/smt2.12141","url":null,"abstract":"<p>The unmanned aerial vehicle (UAV) and the unmanned ground vehicle (UGV) can complete complex tasks through information sharing and ensure the mission execution capability of multiple unmanned carrier platforms. At the same time, cooperative navigation can use the information interaction between multi-platform sensors to improve the relative navigation and positioning accuracy of the entire system. Aiming at the problem of deviation of the system model due to gross errors in sensor measurement data or strong manoeuvrability in complex environments, a robust and adaptive UGV-UAV relative navigation and positioning algorithm is proposed. In this paper, the relative navigation and positioning of UGV-UAV is studied based on inertial measurement unit (IMU)/Vision. Based on analyzing the relative kinematics model and sensor measurement model, a leader (UGV)-follow (UAV) relative navigation model is established. In the implementation of the relative navigation and positioning algorithm, the robust adaptive algorithm and the non-linear Kalman filter (extended Kalman filter [EKF]) algorithm are combined to dynamically adjust the system state parameters. Finally, a mathematical simulation of the accompanying and landing process in the UGV-UAV cooperative scene is carried out. The relative position, velocity and attitude errors calculated by EKF, Robust-EKF and Robust-Adaptive-EKF algorithms are compared and analyzed by simulating two cases where the noise obeys the Gaussian distribution and the non-Gaussian distribution. The results show that under the non-Gaussian distribution conditions, the accuracy of the Robust-Adaptive-EKF algorithm is improved by about two to three times compared with the EKF and Robust-EKF and can almost reach the relative navigation accuracy under the Gaussian distribution conditions. The robust self-adaptive relative navigation and positioning algorithm proposed in this paper has strong adaptability to the uncertainty and deviation of system modelling in complex environments, with higher accuracy and stronger robustness.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12141","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50125859","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":"Application of the convolutional neural network in partial discharge spectrum recognition of power apparatus","authors":"Feng-Chang Gu","doi":"10.1049/smt2.12137","DOIUrl":"https://doi.org/10.1049/smt2.12137","url":null,"abstract":"<p>Partial discharge (PD) detection is used to evaluate the insulation status of high-voltage equipment. The most challenging aspect of traditional PD recognition is extracting features from the discharge signal. Accordingly, this study applied the visual geometry group-19 (VGG-19) model to gas-insulated switchgear (GIS) PD image recognition. A high frequency current transformer and an LDP-5 inductive sensor measured PD electrical signals emitted by 15-kV GIS. Next, the Hilbert energy spectrum was obtained by Hilbert transform in the time and frequency domains. Compared with a phase-resolved PD pattern, the Hilbert spectrum can represent the energy and instantaneous frequency with the time variable. Finally, the VGG-19 model was applied for PD pattern recognition. For validation, its recognition performance was compared with that of a fractal theory by using a neural network method. The VGG-19 method is straightforward and has a high PD recognition rate, thereby enabling equipment manufacturers to quickly verify the insulation of GIS during assembly or operation.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50130381","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":"Applicability of the acoustic–electrical joint detection method to identify defects in gas insulated system","authors":"Jixing Sun,&nbsp;Yongzhi Fan,&nbsp;Weifan Qiu,&nbsp;Sibo Song,&nbsp;Xinyu Tan,&nbsp;Yu Tian,&nbsp;Xuewen Jiao,&nbsp;Huili Wang,&nbsp;Nana Wu","doi":"10.1049/smt2.12138","DOIUrl":"https://doi.org/10.1049/smt2.12138","url":null,"abstract":"<p>There are many defects in gas-insulated metal-enclosed switchgear (GIS) and gas-insulated transmission lines (GIL) that may cause accidents, such as floating potentials, metal particles, air gaps, and cracks in support insulators. Nevertheless, to-this-date, there is no effective method to recognize them to adjust their operation status. Accordingly, this study compared three typical defect models to explore the partial discharge process, and three typical experimental models were established to identify the characteristic parameters of acoustic and electrical information in the development of defects. The research study shows that that as the voltage increases, the partial discharge of free-metal-particle defects and air-gap defects obtained by the pulse-current method increase gradually. A sudden increase also occurred in the partial discharge of the floating potential defect. The discharge amount of free conductive particles obtained by an ultrahigh-frequency detection method was distributed symmetrically on both sides of the applied voltage peak, and the other two defects were on one side of the peak and yielded an obvious phase difference. The particle collision signal obtained by the ultrasonic method was obvious, but had no obvious phase relationship with the applied voltage. However, the obtained floating potential defect information had obvious phase differences, and the ultrasonic method was not sensitive to air-gap defects. The three typical defects can be identified by the combined method more accurately; this provides a theoretical basis and data support for GIS and GIS voltage tests, detection technologies, and online monitoring methods.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50124290","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}