Rogowski coil sensor in the digitization process  to detect partial discharge

Waldi, Eka Putra; Lestari, Asri Indah; Fernandez, Ritin; Mulyadi, Syaifa; Murakami, Yoshinobu; Hozumi, Naohiro

doi:10.12928/telkomnika.v18i2.14282

Cited by 5 publications

(5 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They numerically studied the time and frequency responses of RCs with several turns, different dimensions, and different output impedances in order to give design guidelines for measuring high-frequency pulses. Waldi et al [85] proposed a comparison between two different geometries of RCs to assess their PD detection capabilities. The first was without a back lead (Figure 7a), and the second was with a back lead (Figure 7b), with 5, 10, 20, and 40 turns.…”

Section: Rogowski Coil (Rc)mentioning

confidence: 99%

Radiometric Partial Discharge Detection: A Review

et al. 2023

View full text Add to dashboard Cite

One of the most common failures or breakdowns that can occur in high-voltage (HV) equipment is due to partial discharges (PDs). This occurs as a result of inadequate insulation, aging, harsh environmental effects, or manufacturing flaws. PD detection and recognition methods have gained growing attention and have seen great progress in the past decades. Radiometric methods are one of the most investigated detection approaches due to their immunity to electromagnetic interference (EMI) and their capabilities to detect and locate PD activities in different applications such as transformers, cables, etc. Several review articles have been published to classify and categorize these works. Nonetheless, some concepts are missing, and some improvement techniques, such as PD detection at high-frequency (HF) and very high-frequency (VHF), have been overlooked. We present in this paper an exhaustive review study of state-of-the-art PD detection based on radiometric methods at different usable radiofrequency bands (i.e., HF, VHF, and UHF). Accordingly, we propose a new generic categorization approach based on the detected electromagnetic wave component (magnetic or electric fields) and pick-up location, either from free space or ground cable.

show abstract

Section: Rogowski Coil (Rc)mentioning

confidence: 99%

Radiometric Partial Discharge Detection: A Review

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The process of PD location comprises three sub-processes that are critical to its success, as illustrated in Figure 1. The first sub-process is the detection of the PD at the sensor, which is extensively discussed [4]. The second sub-process involves the application of de-noising techniques to eliminate electromagnetic noise, as described in [5].…”

Section: Introductionmentioning

confidence: 99%

Fault localization on power cables using time delay estimation of partial discharge signals

Fern,

Yii,

Bakar

et al. 2023

IJECE

View full text Add to dashboard Cite

Precise localization of partial discharge (PD) sources on power cables is vital to prevent power line failures that can lead to significant economic losses for electrical suppliers. This study proposes four methods to estimate the time delay of PD signals under electromagnetic interference, including white Gaussian noise (WGN) and discrete sinusoidal interference (DSI), using denoised PD signals with signal-to-noise ratios ranging from 10.6 to -7.02 dB. The maximum peak detection (MPD) and cross-correlation (CC) approaches, as well as two new techniques, interpolation cross-correlation (ICC) and envelope cross-correlation (ECC), are evaluated for their effectiveness in PD source localization. The researchers employ the time difference of arrival (TDoA) algorithm to compute PD location using the double-end PD location algorithm, where the PD location precision serves as an indicator of the accuracy of the time delay estimation methods. The study concludes that CC and ICC are the most suitable methods for estimating the time delay of PD signals in the PD location algorithm, as they exhibit the lowest error rates. These results suggest that CC and ICC can be used effectively for precise PD source localization under electromagnetic interference on power cables.

show abstract

“…Inductive sensors use Faraday’s law to measure the induced voltage in a loop caused by the magnetic field variations due to partial discharge pulses. Their main advantage is that they do not require galvanic contact with the monitored equipment [ 21 , 22 ]. The measuring frequency range for these types of sensors is 30 kHz to 300 MHz, which covers the HF–VHF band.…”

Section: Introductionmentioning

confidence: 99%

PCB-Based Planar Inductive Loops for Partial Discharges Detection in Power Cables

Kaziz

Romano

Imburgia

et al. 2022

Sensors

View full text Add to dashboard Cite

Partial discharge (PD) diagnosis tests, including detecting, locating, and identifying, are used to trace defects or faults and assess the degree of aging in order to monitor the insulation condition of medium- and high-voltage power cables. In this context, an experimental evaluation of three different printed circuit board (PCB)-based inductive sensor topologies, with spiral, non-spiral, and meander shapes, is performed. The aim is to assess their capabilities for PD detection along a transmission power cable. First, simulation and experimental characterization are carried out to determine the equivalent electrical circuit and the quality factor of the three sensors. PD activity was studied in the lab on a 10-m-long defective MVAC cable. The three PCB-based sensors were tested in three different positions: directly on the defective cable (P1), at a separation distance of 10 cm to 3 m (P2), and on the ground line (P3). For the three positions, all sensors’ outputs present a damped sine wave signal with similar frequencies and durations. Experimental results showed that the best sensitivity was given by the non-spiral inductor, with a peak voltage of around 500 mV in P1, 428 mV in P2, and 45 mV in P3, while the meander sensor had the lowest values, which were approximately 80 mV in P1. The frequency spectrum bandwidth of all sensors was between 10 MHz and 45 MHz. The high sensitivity of the non-spiral inductor could be associated with its interesting properties in terms of quality factor and SFR, which are due to its very low resistivity. To benchmark the performance of the designed three-loop sensors, a comparison with a commercial high-frequency current transformer (HFCT) is also made.

show abstract

Rogowski coil sensor in the digitization process to detect partial discharge

Cited by 5 publications

References 22 publications

Radiometric Partial Discharge Detection: A Review

Radiometric Partial Discharge Detection: A Review

Fault localization on power cables using time delay estimation of partial discharge signals

PCB-Based Planar Inductive Loops for Partial Discharges Detection in Power Cables

Contact Info

Product

Resources

About