{"title":"深度学习在管道检测中的应用：现状与挑战","authors":"Zihan Yang, Yuteng Zhang, Yong Bai, Jiangpeng Shu","doi":"10.1080/17445302.2024.2373561","DOIUrl":null,"url":null,"abstract":"Pipelines are a primary route of transportation for essential energy sources such as oil and gas, and the inspection and assessment of their operational status is vital to the health of the industr...","PeriodicalId":21742,"journal":{"name":"Ships and Offshore Structures","volume":"25 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The application of deep learning in pipeline inspection: current status and challenges\",\"authors\":\"Zihan Yang, Yuteng Zhang, Yong Bai, Jiangpeng Shu\",\"doi\":\"10.1080/17445302.2024.2373561\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pipelines are a primary route of transportation for essential energy sources such as oil and gas, and the inspection and assessment of their operational status is vital to the health of the industr...\",\"PeriodicalId\":21742,\"journal\":{\"name\":\"Ships and Offshore Structures\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ships and Offshore Structures\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/17445302.2024.2373561\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MARINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ships and Offshore Structures","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/17445302.2024.2373561","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MARINE","Score":null,"Total":0}
The application of deep learning in pipeline inspection: current status and challenges
Pipelines are a primary route of transportation for essential energy sources such as oil and gas, and the inspection and assessment of their operational status is vital to the health of the industr...
期刊介绍：
Ships and Offshore Structures is an international, peer-reviewed journal which provides an authoritative forum for publication and discussion of recent advances and future trends in all aspects of technology across the maritime industry.
The Journal covers the entire range of issues and technologies related to both ships (including merchant ships, war ships, polar ships etc.) and offshore structures (floating and fixed offshore platforms, offshore infrastructures, underwater vehicles etc.) with a strong emphasis on practical design, construction and operation.
Papers of interest to Ships and Offshore Structures will thus be broad-ranging, and will include contributions concerned with principles, theoretical/numerical modelling, model/prototype testing, applications, case studies and operational records, which may take advantage of computer-aided methodologies, and information and digital technologies. Whilst existing journals deal with technologies as related to specific topics, Ships and Offshore Structures provides a systematic approach to individual technologies, to more efficiently and accurately characterize the functioning of entire systems.
The Journal is intended to bridge the gap between theoretical developments and practical applications for the benefit of academic researchers and practising engineers, as well as those working in related governmental, public policy and regulatory bodies.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
