Hongpeng Zhang;Xiangming Kan;Chenyong Wang;Zhongyang Cai;Xurui Zhang;Riwei Wang;Chenzhao Bai
{"title":"Characterization of Inductive Signals of Polymetallic Particles Under Variable Frequency Conditions","authors":"Hongpeng Zhang;Xiangming Kan;Chenyong Wang;Zhongyang Cai;Xurui Zhang;Riwei Wang;Chenzhao Bai","doi":"10.1109/TIM.2025.3557111","DOIUrl":null,"url":null,"abstract":"As the detection channel of an inductive particle sensor increases, it is inevitable that multiple particles will pass through the sensor simultaneously. However, the movement of multiple particles in fluid and magnetic fields, especially their aggregation behavior, can allow particle sensors to generate misleading wear signals. Therefore, to estimate the influence of the multi-particle aggregation effect on the accuracy of inductive sensors, this study constructed a magnetic coupling model of abrasive particles in strip structure and built the experimental platform required for the study, to investigate the difference in inductance change due to magnetic coupling effect among multiple metal particles at different frequencies. The experimental results reveal the phenomenon of inductance change of the three-particle combinations of the strip structure under two different conditions: in the “sequential entry” type of strip structure, the vortex effect between particles exhibits a mutual weakening, while in the “simultaneous entry” type, the vortex effect between particles exhibits a mutual enhancement. In the “simultaneous entry” type, the eddy current effects between the particles are characterized by mutual enhancement. These findings not only provide a new perspective for understanding the aggregation detection of polymetallic particles but also provide a theoretical basis for improving the accuracy of the sensor.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-9"},"PeriodicalIF":5.6000,"publicationDate":"2025-04-17","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/10969526/","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}
引用次数: 0
Abstract
As the detection channel of an inductive particle sensor increases, it is inevitable that multiple particles will pass through the sensor simultaneously. However, the movement of multiple particles in fluid and magnetic fields, especially their aggregation behavior, can allow particle sensors to generate misleading wear signals. Therefore, to estimate the influence of the multi-particle aggregation effect on the accuracy of inductive sensors, this study constructed a magnetic coupling model of abrasive particles in strip structure and built the experimental platform required for the study, to investigate the difference in inductance change due to magnetic coupling effect among multiple metal particles at different frequencies. The experimental results reveal the phenomenon of inductance change of the three-particle combinations of the strip structure under two different conditions: in the “sequential entry” type of strip structure, the vortex effect between particles exhibits a mutual weakening, while in the “simultaneous entry” type, the vortex effect between particles exhibits a mutual enhancement. In the “simultaneous entry” type, the eddy current effects between the particles are characterized by mutual enhancement. These findings not only provide a new perspective for understanding the aggregation detection of polymetallic particles but also provide a theoretical basis for improving the accuracy of the sensor.
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.