{"title":"Corrigendum to ‘A hierarchical diagnosis method of cable aged segment based on transfer function’","authors":"","doi":"10.1049/smt2.12146","DOIUrl":null,"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":1.4000,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12146","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Science Measurement & Technology","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/smt2.12146","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
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
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.
期刊介绍：
IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.The emphasis of the journal is on theory, simulation methodologies and measurement techniques.
The major themes of the journal are:
- electromagnetism including electromagnetic theory, computational electromagnetics and EMC
- properties and applications of dielectric, magnetic, magneto-optic, piezoelectric materials down to the nanometre scale
- measurement and instrumentation including sensors, actuators, medical instrumentation, fundamentals of measurement including measurement standards, uncertainty, dissemination and calibration
Applications are welcome for illustrative purposes but the novelty and originality should focus on the proposed new methods.
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