Zhen Li , Jianqing Han , Renting Cao , Hongyuan Zhang , Yongbo Zhang , Yanzhe Wang , Cong Zhang , Lin Chang , Jianguo Wang
{"title":"一种用于信号分离的电容成像算法:缺陷与升空干扰","authors":"Zhen Li , Jianqing Han , Renting Cao , Hongyuan Zhang , Yongbo Zhang , Yanzhe Wang , Cong Zhang , Lin Chang , Jianguo Wang","doi":"10.1016/j.measurement.2025.117691","DOIUrl":null,"url":null,"abstract":"<div><div>Capacitive imaging (CI) technology is extensively utilized in various industries, including aerospace, oil transportation, automobile manufacturing, and construction engineering, with its significance continually increasing. A critical factor in ensuring the reliability of detection results in CI technology is the accurate differentiation between defect signals and lift-off disturbance signals. This paper uses COMSOL to establish a three-dimensional simulation model of CI sensors detecting insulated cladding components and obtains the influence of different lift-off heights on the surface defects of the insulation layer, hidden defects of the insulation layer, and surface defects of the metal layer. The Measurement Sensitivity Distribution (MSD) diagram is used to analyze the detection of<!--> <!-->sensitive areas of different types of defects. Using a CI system to experimentally detect three different types of defects and reveal the impact patterns of unidirectional and multidirectional lift-off disturbances on different types of defects. Based on the differences in detection trends between lift-off disturbances and three different types of defects, a Normalized Variation Ratio (NVR)-integral double-threshold algorithm is proposed. The effectiveness of the algorithm is verified through experimental results.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117691"},"PeriodicalIF":5.2000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A capacitive imaging algorithm for signal separation: Defects vs. lift-off disturbances\",\"authors\":\"Zhen Li , Jianqing Han , Renting Cao , Hongyuan Zhang , Yongbo Zhang , Yanzhe Wang , Cong Zhang , Lin Chang , Jianguo Wang\",\"doi\":\"10.1016/j.measurement.2025.117691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Capacitive imaging (CI) technology is extensively utilized in various industries, including aerospace, oil transportation, automobile manufacturing, and construction engineering, with its significance continually increasing. A critical factor in ensuring the reliability of detection results in CI technology is the accurate differentiation between defect signals and lift-off disturbance signals. This paper uses COMSOL to establish a three-dimensional simulation model of CI sensors detecting insulated cladding components and obtains the influence of different lift-off heights on the surface defects of the insulation layer, hidden defects of the insulation layer, and surface defects of the metal layer. The Measurement Sensitivity Distribution (MSD) diagram is used to analyze the detection of<!--> <!-->sensitive areas of different types of defects. Using a CI system to experimentally detect three different types of defects and reveal the impact patterns of unidirectional and multidirectional lift-off disturbances on different types of defects. Based on the differences in detection trends between lift-off disturbances and three different types of defects, a Normalized Variation Ratio (NVR)-integral double-threshold algorithm is proposed. The effectiveness of the algorithm is verified through experimental results.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"253 \",\"pages\":\"Article 117691\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263224125010504\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125010504","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
A capacitive imaging algorithm for signal separation: Defects vs. lift-off disturbances
Capacitive imaging (CI) technology is extensively utilized in various industries, including aerospace, oil transportation, automobile manufacturing, and construction engineering, with its significance continually increasing. A critical factor in ensuring the reliability of detection results in CI technology is the accurate differentiation between defect signals and lift-off disturbance signals. This paper uses COMSOL to establish a three-dimensional simulation model of CI sensors detecting insulated cladding components and obtains the influence of different lift-off heights on the surface defects of the insulation layer, hidden defects of the insulation layer, and surface defects of the metal layer. The Measurement Sensitivity Distribution (MSD) diagram is used to analyze the detection of sensitive areas of different types of defects. Using a CI system to experimentally detect three different types of defects and reveal the impact patterns of unidirectional and multidirectional lift-off disturbances on different types of defects. Based on the differences in detection trends between lift-off disturbances and three different types of defects, a Normalized Variation Ratio (NVR)-integral double-threshold algorithm is proposed. The effectiveness of the algorithm is verified through experimental results.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.