2020
DOI: 10.3390/en13123271
|View full text |Cite
|
Sign up to set email alerts
|

On-Line Partial Discharge Monitoring System for Power Transformers Based on the Simultaneous Detection of High Frequency, Ultra-High Frequency, and Acoustic Emission Signals

Abstract: The article presents a novel on-line partial discharge (PD) monitoring system for power transformers, whose functioning is based on the simultaneous use of three unconventional methods of PD detection: high-frequency (HF), ultra-high frequency (UHF), and acoustic emission (AE). It is the first monitoring system equipped in an active dielectric window (ADW), which is a combined ultrasonic and electromagnetic PD sensor. The article discusses in detail the process of designing and building individual modules of h… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
22
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 25 publications
(22 citation statements)
references
References 91 publications
0
22
0
Order By: Relevance
“…If the system registers acoustic and electromagnetic pulses simultaneously, it can be assumed with a high probability that their source is partial discharges. Figure 1 shows the result of an eight-day PD monitoring carried out on a 31.5 MVA power transformer [12]. The Pearson correlation coefficient between the hourly distribution of the UHF and AE pulses was r = 0.87 with significance p = 0.001, which means a very strong positive correlation and confirms the presence of partial discharges.…”
Section: Introductionmentioning
confidence: 87%
See 2 more Smart Citations
“…If the system registers acoustic and electromagnetic pulses simultaneously, it can be assumed with a high probability that their source is partial discharges. Figure 1 shows the result of an eight-day PD monitoring carried out on a 31.5 MVA power transformer [12]. The Pearson correlation coefficient between the hourly distribution of the UHF and AE pulses was r = 0.87 with significance p = 0.001, which means a very strong positive correlation and confirms the presence of partial discharges.…”
Section: Introductionmentioning
confidence: 87%
“…The default partial discharge detectors are acoustic emission sensors optimized to detect discharges occurring in oil-paper insulation [33]. The system has also been adapted to work with high-frequency current transformers (HFCT), UHF antennas, and active dielectric windows [12]. The detailed structure of the system and examples of its implementation for monitoring power transformers are discussed, among others, in [23].…”
Section: Integration Of the High Voltage Measurement Module With The Online Pd Monitoring Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, the possibility of contactless detection of sources of electric fields appears important to determine the degree of their influence on the surrounding space. Additionally, the registration of local overvoltage in transformer windings, in high-voltage insulators and cables, can indicate the presence of insulation defects, which ultimately cause damage and even destruction of the insulating elements [9][10][11][12][13][14][15][16][17][18][19]. Therefore, it is necessary to control the occurrence of local overvoltage during the high-voltage insulation operation.…”
Section: Introductionmentioning
confidence: 99%
“…PD measurement methods based on electrical, acoustic, chemical, and mechanical phenomena associated with the PD process have been used for many years as nondestructive offline or online techniques for insulation condition evaluation of high-voltage equipment [ 4 , 5 , 6 ]. These methods include the pulse current method (IEC 60270) [ 7 ], HF (3–30 MHz) [ 8 ], VHF (30–300 MHz) [ 9 ], UHF (300 MHz–3 GHz) method [ 10 , 11 , 12 ], the transient earth voltage (TEV) method [ 13 , 14 , 15 ], the acoustic emission method [ 16 , 17 , 18 ], and the oscillating wave test method [ 19 ].…”
Section: Introductionmentioning
confidence: 99%