Qing Yan;Yezheng Xiao;Qicai Ni;Longgui Zheng;Teng Wang;Xinxin Zhu;Yu Chen;Yanlan Hu
{"title":"基于CWW + CNN-BiLSTM-Attention的感应电压噪声补偿方法","authors":"Qing Yan;Yezheng Xiao;Qicai Ni;Longgui Zheng;Teng Wang;Xinxin Zhu;Yu Chen;Yanlan Hu","doi":"10.1109/TIM.2025.3604132","DOIUrl":null,"url":null,"abstract":"Induced voltage noise is a significant source of interference in voltage detection, seriously affecting measurement accuracy and system stability. In the complex electromagnetic environment of the Tokamak system, induced voltage noise can exceed 500 V, posing a great challenge to noise suppression in voltage detection signals. This article presents a two-stage noise compensation approach designed to address the problem. The first stage uses a hardware-based co-wound wire (CWW) primary compensation method, effectively reducing the induced voltage noise from over 500 V to below 10 V. Building on this foundation, the second stage introduces a deep learning model based on CNN-BiLSTM-Attention as the secondary compensation module, which further reduces the residual noise to below 100 mV over a 1-s window. The proposed method was validated through real-time deployment on the Experimental Advanced Superconducting Tokamak (EAST). Experimental results demonstrate that the method not only achieves excellent compensation effect but also preserves the integrity of critical voltage detection signals throughout operation.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-11"},"PeriodicalIF":5.9000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Induced Voltage Noise Compensation Method Based on CWW + CNN-BiLSTM-Attention\",\"authors\":\"Qing Yan;Yezheng Xiao;Qicai Ni;Longgui Zheng;Teng Wang;Xinxin Zhu;Yu Chen;Yanlan Hu\",\"doi\":\"10.1109/TIM.2025.3604132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Induced voltage noise is a significant source of interference in voltage detection, seriously affecting measurement accuracy and system stability. In the complex electromagnetic environment of the Tokamak system, induced voltage noise can exceed 500 V, posing a great challenge to noise suppression in voltage detection signals. This article presents a two-stage noise compensation approach designed to address the problem. The first stage uses a hardware-based co-wound wire (CWW) primary compensation method, effectively reducing the induced voltage noise from over 500 V to below 10 V. Building on this foundation, the second stage introduces a deep learning model based on CNN-BiLSTM-Attention as the secondary compensation module, which further reduces the residual noise to below 100 mV over a 1-s window. The proposed method was validated through real-time deployment on the Experimental Advanced Superconducting Tokamak (EAST). Experimental results demonstrate that the method not only achieves excellent compensation effect but also preserves the integrity of critical voltage detection signals throughout operation.\",\"PeriodicalId\":13341,\"journal\":{\"name\":\"IEEE Transactions on Instrumentation and Measurement\",\"volume\":\"74 \",\"pages\":\"1-11\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Instrumentation and Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11145175/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Instrumentation and Measurement","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11145175/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Induced Voltage Noise Compensation Method Based on CWW + CNN-BiLSTM-Attention
Induced voltage noise is a significant source of interference in voltage detection, seriously affecting measurement accuracy and system stability. In the complex electromagnetic environment of the Tokamak system, induced voltage noise can exceed 500 V, posing a great challenge to noise suppression in voltage detection signals. This article presents a two-stage noise compensation approach designed to address the problem. The first stage uses a hardware-based co-wound wire (CWW) primary compensation method, effectively reducing the induced voltage noise from over 500 V to below 10 V. Building on this foundation, the second stage introduces a deep learning model based on CNN-BiLSTM-Attention as the secondary compensation module, which further reduces the residual noise to below 100 mV over a 1-s window. The proposed method was validated through real-time deployment on the Experimental Advanced Superconducting Tokamak (EAST). Experimental results demonstrate that the method not only achieves excellent compensation effect but also preserves the integrity of critical voltage detection signals throughout operation.
期刊介绍:
Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.