Integrated dashboard and web-based real-time condition monitoring of switched reluctance motors using advanced programmable logic controllers.
Saved in:
| Title: | Integrated dashboard and web-based real-time condition monitoring of switched reluctance motors using advanced programmable logic controllers. |
|---|---|
| Authors: | Gecer, B.1 bekirgecer@adiguzel.edu.tr, Serteller, N. F. O.2 fserteller@marmara.edu.tr, Akpolat, A. N.2 alper.nabi@marmara.edu.tr, Gol, M.2 mehmet.gol.tr@gmail.com |
| Source: | Insight: Non-Destructive Testing & Condition Monitoring. Aug2026, Vol. 68 Issue 8, p508-512. 5p. |
| Subjects: | Switched reluctance motors, Programmable controllers, Data recorders & recording, Real-time computing, Fault diagnosis, Industrial controls manufacturing, User interfaces |
| Abstract: | Switched reluctance motors (SRMs) are attracting increasing attention due to their operational advantages and their industrial use is rapidly growing. In parallel with advancements in motor technologies, there have also been significant developments in semiconductor technologies, control systems and condition monitoring. Programmable logic controllers (PLCs), which play a key role in these areas, are increasingly used in industrial motor control and data acquisition processes due to their modularity, reliability and compatibility with modern human-machine interface (HMI) tools. This study focuses on the design and implementation of a real-time laboratory platform for monitoring the electrical and mechanical behaviour of an 8/6 SRM using an advanced PLC. The proposed system visualises key parameters such as phase current and torque both locally through a HMI dashboard and remotely via a web interface. In addition to real-time monitoring, the system also performs data archiving during the condition monitoring process, enabling the storage and retrospective analysis of operational data. This configuration provides accessibility, transparency and flexibility in both academic and industrial settings. The study enables both local and web-based remote condition monitoring of SRM data, along with systematic data archiving, using an advanced PLC, which contributes to the literature and offers potential benefits in the field of industrial maintenance. [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: 196185637 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Integrated dashboard and web-based real-time condition monitoring of switched reluctance motors using advanced programmable logic controllers. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gecer%2C+B%2E%22">Gecer, B.</searchLink><relatesTo>1</relatesTo><i> bekirgecer@adiguzel.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Serteller%2C+N%2E+F%2E+O%2E%22">Serteller, N. F. O.</searchLink><relatesTo>2</relatesTo><i> fserteller@marmara.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Akpolat%2C+A%2E+N%2E%22">Akpolat, A. N.</searchLink><relatesTo>2</relatesTo><i> alper.nabi@marmara.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Gol%2C+M%2E%22">Gol, M.</searchLink><relatesTo>2</relatesTo><i> mehmet.gol.tr@gmail.com</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>. Aug2026, Vol. 68 Issue 8, p508-512. 5p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Switched+reluctance+motors%22">Switched reluctance motors</searchLink><br /><searchLink fieldCode="DE" term="%22Programmable+controllers%22">Programmable controllers</searchLink><br /><searchLink fieldCode="DE" term="%22Data+recorders+%26+recording%22">Data recorders & recording</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+controls+manufacturing%22">Industrial controls manufacturing</searchLink><br /><searchLink fieldCode="DE" term="%22User+interfaces%22">User interfaces</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Switched reluctance motors (SRMs) are attracting increasing attention due to their operational advantages and their industrial use is rapidly growing. In parallel with advancements in motor technologies, there have also been significant developments in semiconductor technologies, control systems and condition monitoring. Programmable logic controllers (PLCs), which play a key role in these areas, are increasingly used in industrial motor control and data acquisition processes due to their modularity, reliability and compatibility with modern human-machine interface (HMI) tools. This study focuses on the design and implementation of a real-time laboratory platform for monitoring the electrical and mechanical behaviour of an 8/6 SRM using an advanced PLC. The proposed system visualises key parameters such as phase current and torque both locally through a HMI dashboard and remotely via a web interface. In addition to real-time monitoring, the system also performs data archiving during the condition monitoring process, enabling the storage and retrospective analysis of operational data. This configuration provides accessibility, transparency and flexibility in both academic and industrial settings. The study enables both local and web-based remote condition monitoring of SRM data, along with systematic data archiving, using an advanced PLC, which contributes to the literature and offers potential benefits in the field of industrial maintenance. [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=196185637 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1784/insi.2026.68.8.508 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 508 Subjects: – SubjectFull: Switched reluctance motors Type: general – SubjectFull: Programmable controllers Type: general – SubjectFull: Data recorders & recording Type: general – SubjectFull: Real-time computing Type: general – SubjectFull: Fault diagnosis Type: general – SubjectFull: Industrial controls manufacturing Type: general – SubjectFull: User interfaces Type: general Titles: – TitleFull: Integrated dashboard and web-based real-time condition monitoring of switched reluctance motors using advanced programmable logic controllers. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gecer, B. – PersonEntity: Name: NameFull: Serteller, N. F. O. – PersonEntity: Name: NameFull: Akpolat, A. N. – PersonEntity: Name: NameFull: Gol, M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13542575 Numbering: – Type: volume Value: 68 – Type: issue Value: 8 Titles: – TitleFull: Insight: Non-Destructive Testing & Condition Monitoring Type: main |
| ResultId | 1 |
