Broadband 3-D Omnidirectional Magnetic Induction-Based Sensor Module for Partial Discharge Detection of High-Voltage Equipment in IIoT Application

Partial discharge (PD) detection is critical for diagnosing and maintaining insulation systems of high-voltage equipment. In this article, a novel broadband three-directional (3-D) omnidirectional magnetic induction-based sensor module is proposed for noncontacting PD detection of high-voltage equipment in the industrial Internet of Things (IIoT) application. The equivalent circuit models of a bandpass filter and planar spiral coil are comparatively investigated. Both broadband and filtering performance are realized by combining multiple spiral coils associated with the lumped capacitors. Moreover, five coils are wrapped around the dielectric cube to construct a 3-D omnidirectional sensor. Benefiting from the subcoil interactions, the magnetic field vector is redistributed to produce a transverse component that can detect the fields parallel to the coil’s plane, thus contributing to omnidirectional sensing performance. To verify the proposed measurement technique, an IIoT-based real-time monitoring system prototype is manufactured, and the designed sensor is fabricated by using 3-D printing technology. The experiments show that the designed sensor module can achieve an ultrawide impedance bandwidth ranging from 4 to 70 MHz (|<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{11} {\unicode {0x007C}}$ </tex-math></inline-formula>¡ −10 dB) while the out-of-band interference can be suppressed. Besides, the proposed system has been demonstrated for 3-D omnidirectional real-time monitoring and intelligent analysis for PD events, showcasing its significant potential in IIOT applications.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-09-20
DOI
https://doi.org/10.1109/jiot.2024.3464752
Citations
1
Primary Topic
Magnetic Field Sensors Techniques
Type
article
Field-Weighted Citation Impact
0.21
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article

Broadband 3-D Omnidirectional Magnetic Induction-Based Sensor Module for Partial Discharge Detection of High-Voltage Equipment in IIoT Application

Kai‐Dong Hong, Yuanjin Zheng, Guanlin Jiang, Jinsheng Ji et al.
1 citations
IEEE Internet of Things Journal
Magnetic Field Sensors Techniques
0.21
article

Broadband 3-D Omnidirectional Magnetic Induction-Based Sensor Module for Partial Discharge Detection of High-Voltage Equipment in IIoT Application

Kai‐Dong Hong, Yuanjin Zheng, Guanlin Jiang, Jinsheng Ji, Shu Zhou, Wensong Wang, Min‐Shan Lu
article en
1 citations

Abstract

Partial discharge (PD) detection is critical for diagnosing and maintaining insulation systems of high-voltage equipment. In this article, a novel broadband three-directional (3-D) omnidirectional magnetic induction-based sensor module is proposed for noncontacting PD detection of high-voltage equipment in the industrial Internet of Things (IIoT) application. The equivalent circuit models of a bandpass filter and planar spiral coil are comparatively investigated. Both broadband and filtering performance are realized by combining multiple spiral coils associated with the lumped capacitors. Moreover, five coils are wrapped around the dielectric cube to construct a 3-D omnidirectional sensor. Benefiting from the subcoil interactions, the magnetic field vector is redistributed to produce a transverse component that can detect the fields parallel to the coil’s plane, thus contributing to omnidirectional sensing performance. To verify the proposed measurement technique, an IIoT-based real-time monitoring system prototype is manufactured, and the designed sensor is fabricated by using 3-D printing technology. The experiments show that the designed sensor module can achieve an ultrawide impedance bandwidth ranging from 4 to 70 MHz (|<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S_{11} {\unicode {0x007C}}$ </tex-math></inline-formula>¡ −10 dB) while the out-of-band interference can be suppressed. Besides, the proposed system has been demonstrated for 3-D omnidirectional real-time monitoring and intelligent analysis for PD events, showcasing its significant potential in IIOT applications.

IEEE Internet of Things JournalVol. 12(2)
National University of Singapore (SG), Nanyang Technological University (SG), Shenzhen Technology University (CN)
Affordable and clean energy
Openalex Percentile: Top 48%
Magnetic Field Sensors Techniques
0.21
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