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Advanced Sensing Detection in Electrical Equipment
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Advanced Sensing Detection in Electrical Equipment

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".

Deadline for manuscript submissions: closed (12 May 2023) | Viewed by 7811

Special Issue Editors

Dr. Guoming Ma

E-Mail Website
Guest Editor
State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Interests: electrical engineering; sensor detection of power apparatus; electrical equipment diagnosis
Dr. Wenzhi Chang

E-Mail Website
Guest Editor
Institute of High Voltage Technology, China Electric Power Research Institute, Beijing 100192, China
Interests: condition monitoring of power equipment; advance sensing
Dr. Yuan Wang

E-Mail Website
Guest Editor
College of Engineering, Peking University, Beijing 100871, China
Interests: online monitoring and diagnosis; advanced power equipment

Special Issue Information

Dear Colleagues,

The fast development of renewable energy has resulted in new challenges in electrical grids. Any failures of the power equipment may lead to a serious blackout. Therefore, there is an urgent demand to develop advanced monitoring methods to ensure the reliable operation of electrical equipment.

In particular, developing advanced sensing detection in electrical equipment is urgent to make breakthroughs in novel sensing principles, smart sensors, multiplexing networks, distributed sensing, data analysis, comprehensive applications, etc.

In this Special Issue, we aim to provide a forum for colleagues to publish recent research results related to the frontiers of advanced sensing detection in electrical equipment, as well as comprehensive surveys of state-of-the-art equipment in relevant specific areas. Both original contributions with theoretical novelty and practical solutions for addressing particular problems are solicited.

Dr. Guoming Ma
Dr. Wenzhi Chang
Dr. Yuan Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • novel diagnosis techniques and monitoring methods
  • smart sensors (optic, MEMS, etc.) design and applications
  • multi-sensor fusion and collaborative application
  • distributed sensing methods
  • artificial intelligence-based data acquisition and processing algorithms
  • field application cases

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Published Papers (4 papers)

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Research

17 pages, 16519 KiB  
Article
Partial Discharge Wideband Full-Band High-Gain Resonant Cavity UHF Sensor Research
by Chengqiang Liao, Lei Zhang, Guozhi Zhang, Changyue Lu and Xiaoxing Zhang
Sensors 2023, 23(15), 6847; https://doi.org/10.3390/s23156847 - 1 Aug 2023
Cited by 2 | Viewed by 2086
Abstract
To meet the real demand for broadband full-band high-gain antenna sensors in the process of partial discharge (PD) Ultra-High frequency (UHF) detection test and online monitoring of power equipment, this paper builds a resonant cavity monopole UHF antenna sensor based on Fabry–Perot resonant [...] Read more.
To meet the real demand for broadband full-band high-gain antenna sensors in the process of partial discharge (PD) Ultra-High frequency (UHF) detection test and online monitoring of power equipment, this paper builds a resonant cavity monopole UHF antenna sensor based on Fabry–Perot resonant cavity antenna technology, conducts the sensor Voltage Standing Wave Ratio (VSWR) optimization study using curved flow technology, conducts the sensor gain optimization study using slot dual resonant structure, and, finally, tests the sensor performance using the built PD detection test platform. The resonant cavity monopole antenna exhibits outstanding VSWR performance in the frequency range of 0.37 GHz–3 GHz, according to simulation and test data: the average gain in the frequency range of 0.3 GHz–3 GHz is 4.92 dBi, and the highest gain at the primary resonant frequency of 1.0 GHz is 7.16 dBi, with good radiation performance over the whole frequency spectrum. The electromagnetic pulse signal sensed by the UHF sensor developed in this paper can demonstrate the energy spectrum distribution characteristics of PD radiation electromagnetic wave signal more comprehensively, laying a firm technical foundation for thoroughly understanding the electromagnetic wave radiation characteristics of various types of PD insulation defects of various power equipment and the selection of a specific direction for its supporting optimization. Full article
(This article belongs to the Special Issue Advanced Sensing Detection in Electrical Equipment)
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14 pages, 3918 KiB  
Article
Optimized Unilateral Magnetic Resonance Sensor with Constant Gradient and Its Applications in Composite Insulators
by Pan Guo, Chenjie Yang, Jiamin Wu and Zheng Xu
Sensors 2023, 23(12), 5476; https://doi.org/10.3390/s23125476 - 9 Jun 2023
Cited by 1 | Viewed by 1303
Abstract
In this study, an optimized unilateral magnetic resonance sensor with a three-magnet array is presented for assessing the aging of composite insulators in power grids. The sensor’s optimization involved enhancing the static magnetic field strength and the homogeneity of the RF field while [...] Read more.
In this study, an optimized unilateral magnetic resonance sensor with a three-magnet array is presented for assessing the aging of composite insulators in power grids. The sensor’s optimization involved enhancing the static magnetic field strength and the homogeneity of the RF field while maintaining a constant gradient in the direction of the vertical sensor surface and maximizing homogeneity in the horizontal direction. The center layer of the target area was positioned 4 mm from the coil’s upper surface, resulting in a magnetic field strength of 139.74 mT at the center point of the area, with a gradient of 2.318 T/m and a corresponding hydrogen atomic nuclear magnetic resonance frequency of 5.95 MHz. The magnetic field uniformity over a 10 mm × 10 mm range on the plane was 0.75%. The sensor measured 120 mm × 130.5 mm × 76 mm and weighed 7.5 kg. Employing the optimized sensor, magnetic resonance assessment experiments were conducted on composite insulator samples utilizing the CPMG (Carr–Purcell–Meiboom–Gill) pulse sequence. The T2 distribution provided visualizations of the T2 decay in insulator samples with different degrees of aging. Full article
(This article belongs to the Special Issue Advanced Sensing Detection in Electrical Equipment)
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16 pages, 4655 KiB  
Article
In Situ Photoacoustic Detection System for SO2 in High-Pressure SF6 Buffer Gas Using UV LED
by Wei Hu, Kang Li, Tunan Chen, Zongjia Qiu and Guoqiang Zhang
Sensors 2022, 22(24), 9846; https://doi.org/10.3390/s22249846 - 14 Dec 2022
Cited by 6 | Viewed by 1813
Abstract
Sulfur dioxide (SO2) is a key indicator for fault diagnosis in sulfur hexafluoride (SF6) gas-insulated equipment. In this work, an in situ photoacoustic detection system using an ultraviolet (UV) LED light as the excitation source was established to detect [...] Read more.
Sulfur dioxide (SO2) is a key indicator for fault diagnosis in sulfur hexafluoride (SF6) gas-insulated equipment. In this work, an in situ photoacoustic detection system using an ultraviolet (UV) LED light as the excitation source was established to detect SO2 in high-pressure SF6 buffer gas. The selection of the SO2 absorption band is discussed in detail in the UV spectral regions. Based on the result of the spectrum selection, a UV LED with a nominal wavelength of 285 nm and a bandwidth of 13 nm was selected. A photoacoustic cell, as well as a high-pressure sealed gas vessel containing it, were designed to match the output optical beam and to generate a PA signal in the high-pressure SF6 buffer gas. The performance of the proposed system was assessed in terms of linearity and detection limit. An SO2 detection limit (1σ) of 0.17 ppm was achieved. Additionally, a correction method was supplied to solve PA signal derivation induced by pressure fluctuation. The method can reduce the derivation from about 5% to 1% in the confirmation experiment. Full article
(This article belongs to the Special Issue Advanced Sensing Detection in Electrical Equipment)
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12 pages, 4310 KiB  
Article
Phase Stability Control of Optical Fiber Partial Discharge Ultrasonic Sensing System
by Chao Xing, Qian Zang, Ruidong He, Jun Zhao, Lili Wang, Lujian Dai, Rongbin Shi, Sihan Wang and Guoming Ma
Sensors 2022, 22(21), 8495; https://doi.org/10.3390/s22218495 - 4 Nov 2022
Cited by 7 | Viewed by 2081
Abstract
Optic fiber interferometers are highly sensitive ultrasonic sensors for partial discharge detection. However, low-frequency vibration and environmental noise will disturb the sensors in the field, and cause a phase fading suppression effect that reduces sensitivity. This paper analyzed the problems existing in the [...] Read more.
Optic fiber interferometers are highly sensitive ultrasonic sensors for partial discharge detection. However, low-frequency vibration and environmental noise will disturb the sensors in the field, and cause a phase fading suppression effect that reduces sensitivity. This paper analyzed the problems existing in the phase feedback control system based on PZT, and an improved scheme incorporating a high-frequency carrier phase demodulation is proposed. Based on an acousto-optic modulator, the proposed phase feedback control system overcomes the phase fading suppression effect. A test is carried out on an ultrasonic calibration platform and a transformer oil discharge platform. The test results show that the stability of the improved phase demodulation system has been significantly improved, and meets the requirements of field applications. Compared with the signal-to-noise ratio at the time of phase fading of the system before the improvement, the signal-to-noise ratio of the improved system is improved by 69 dB. Full article
(This article belongs to the Special Issue Advanced Sensing Detection in Electrical Equipment)
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