Characteristics analysis and research on dual-excitation inductive oil grinding particle sensor.
Saved in:
| Title: | Characteristics analysis and research on dual-excitation inductive oil grinding particle sensor. |
|---|---|
| Authors: | Guo, Zisheng1, Zhang, Yanhai2 zyh20251103@163.com, Wang, Xinhua1 15030051634@163.com, Sun, Shipeng3, Yin, Gefan4 yingefan@bupt.edu.cn |
| Source: | Insight: Non-Destructive Testing & Condition Monitoring. Jan2026, Vol. 68 Issue 1, p37-45. 9p. |
| Subjects: | Inductive sensors, Electromagnetic induction, Fault diagnosis, Signal processing, Finite element method |
| Abstract: | An inductive abrasive sensor is a key device for collecting oil signals and monitoring equipment wear. By collecting oil signals through the sensor, the number and size of oil particles are analysed to reflect the degree of equipment wear. This study is based on a dual-excitation inductive sensor for system design and signal processing experiments. The system hardware module is designed using electromagnetic induction principles and signals are collected and analysed through oil software. The sensor is analysed and modelled using JMAG-Designer finite element software and the output characteristics of the sensor are specifically analysed. The study clarifies the relationship between induced electromotive force and both abrasive particle diameter and abrasive particle flow velocity and reveals the distribution of the magnetic field inside the sensor and the relationship between magnetic field direction and magnetic induction intensity, as well as the law of induced voltage and coil width and inner radius. A numerical experiment shows that when 100 µm iron metal abrasive particles pass through the sensor, the induced voltage is approximately distributed as a cosine function. This achievement provides a theoretical basis and new solutions for fault diagnosis of monitoring equipment in the field of inductive abrasive sensors. [ABSTRACT FROM AUTHOR] |
| Copyright of Insight: Non-Destructive Testing & Condition Monitoring is the property of British Institute of Non-Destructive Testing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 191436111 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Characteristics analysis and research on dual-excitation inductive oil grinding particle sensor. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Guo%2C+Zisheng%22">Guo, Zisheng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yanhai%22">Zhang, Yanhai</searchLink><relatesTo>2</relatesTo><i> zyh20251103@163.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Xinhua%22">Wang, Xinhua</searchLink><relatesTo>1</relatesTo><i> 15030051634@163.com</i><br /><searchLink fieldCode="AR" term="%22Sun%2C+Shipeng%22">Sun, Shipeng</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Yin%2C+Gefan%22">Yin, Gefan</searchLink><relatesTo>4</relatesTo><i> yingefan@bupt.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Insight%3A+Non-Destructive+Testing+%26+Condition+Monitoring%22">Insight: Non-Destructive Testing & Condition Monitoring</searchLink>. Jan2026, Vol. 68 Issue 1, p37-45. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Inductive+sensors%22">Inductive sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Electromagnetic+induction%22">Electromagnetic induction</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: An inductive abrasive sensor is a key device for collecting oil signals and monitoring equipment wear. By collecting oil signals through the sensor, the number and size of oil particles are analysed to reflect the degree of equipment wear. This study is based on a dual-excitation inductive sensor for system design and signal processing experiments. The system hardware module is designed using electromagnetic induction principles and signals are collected and analysed through oil software. The sensor is analysed and modelled using JMAG-Designer finite element software and the output characteristics of the sensor are specifically analysed. The study clarifies the relationship between induced electromotive force and both abrasive particle diameter and abrasive particle flow velocity and reveals the distribution of the magnetic field inside the sensor and the relationship between magnetic field direction and magnetic induction intensity, as well as the law of induced voltage and coil width and inner radius. A numerical experiment shows that when 100 µm iron metal abrasive particles pass through the sensor, the induced voltage is approximately distributed as a cosine function. This achievement provides a theoretical basis and new solutions for fault diagnosis of monitoring equipment in the field of inductive abrasive sensors. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Insight: Non-Destructive Testing & Condition Monitoring is the property of British Institute of Non-Destructive Testing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=191436111 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1784/insi.2026.68.1.37 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 37 Subjects: – SubjectFull: Inductive sensors Type: general – SubjectFull: Electromagnetic induction Type: general – SubjectFull: Fault diagnosis Type: general – SubjectFull: Signal processing Type: general – SubjectFull: Finite element method Type: general Titles: – TitleFull: Characteristics analysis and research on dual-excitation inductive oil grinding particle sensor. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Guo, Zisheng – PersonEntity: Name: NameFull: Zhang, Yanhai – PersonEntity: Name: NameFull: Wang, Xinhua – PersonEntity: Name: NameFull: Sun, Shipeng – PersonEntity: Name: NameFull: Yin, Gefan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13542575 Numbering: – Type: volume Value: 68 – Type: issue Value: 1 Titles: – TitleFull: Insight: Non-Destructive Testing & Condition Monitoring Type: main |
| ResultId | 1 |
