Arrival time estimation methodology for partial discharge acoustic signals in power transformers based on a double-threshold technique

Wang, Yan‐Bo; Fan, Yu-Hang; Qin, Shaorui; Chang, Ding-Ge; Shao, Xi; Mu, Hai‐Bao; Guan-jun, Zhang

doi:10.1088/1361-6501/aaf554

Cited by 6 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This combination creates slowly decaying acoustic waves, which cause significant acoustic overlap between the returned signals and limit the sample rate of the PAT (14 Hz). Similar problems also occur with other acoustic time-of-flight applications [22]. Signal overlap depends on the speed of sound in the common sound path, which is influenced by the temperature in the common sound path part of the tube.…”

Section: The Acoustic Signal Overlap Problemmentioning

confidence: 79%

Optimization of a Single Tube Practical Acoustic Thermometer

Tavčar

Drnovšek

Bojkovski

et al. 2020

Sensors

View full text Add to dashboard Cite

When designing a single tube practical acoustic thermometer (PAT), certain considerations should be addressed for optimal performance. This paper is concerned with the main issues involved in building a reliable PAT. It has to be emphasised that a PAT measures the ratio of the time delay between the single temperature calibration point (ice point) and any other temperature. Here, we present different models of the speed of sound in tubes, including the effects of real gases and an error analysis of the most accurate model with a Monte Carlo simulation. Additionally, we introduce the problem of acoustic signal overlap and some possible solutions, one of which is acoustic signal cancellation, which aims to eliminate the unwanted parts of an acoustic signal, and another is to optimize the tube length for the parameters of the gas used and specific temperature range.

show abstract

Section: The Acoustic Signal Overlap Problemmentioning

confidence: 79%

Optimization of a Single Tube Practical Acoustic Thermometer

Tavčar

Drnovšek

Bojkovski

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…The direct signal has greater energy and higher amplitude, and it is used by most of the researchers for AT. Because of possibility of total reflection of the direct signal, some researchers recommend using the indirect signal instead [ 32 ]. In noisy environments with weak PD signals, the appropriate denoising techniques are employed before AT determination [ 33 ].…”

Section: Resultsmentioning

confidence: 99%

“…In the experiments, the AT was hand-picked. The hand-picking AT method may be used in experiments but is impractical for applications in the field [ 32 ]. The amplitude of the noise was relatively small.…”

Section: Resultsmentioning

confidence: 99%

Impact of Power Transformer Oil-Temperature on the Measurement Uncertainty of All-Acoustic Non-Iterative Partial Discharge Location

2021

View full text Add to dashboard Cite

In this paper, the influence of the variation in transformer oil temperature on the accuracy of the all-acoustic non-iterative method for partial discharge location in a power transformer is researched. The research can improve power transformers’ testing and monitoring, particularly given the large transformer oil temperature variations during real-time monitoring. The research is based on quantifying the contribution of oil temperature to the standard combined measurement uncertainty of the non-iterative algorithm by using analytical, statistical, and Monte Carlo methods. The contribution can be quantified and controlled. The contribution varied significantly with different mutual placements of partial discharge and acoustic sensors. The correlation between the contribution and the mean distance between partial discharge and acoustic sensors was observed. Based on these findings, the procedure to quantify and control the contribution in practice was proposed. The procedure considers the specificity of the method’s mathematical model (the assumption that the oil temperature is constant), the non-iterative algorithm’s nonlinearity, and the large variations in transformer oil temperature. Existing studies did not consider the significant effect of the oil temperature on the combined measurement uncertainty of partial discharge location influenced by those phenomena. The research is limited to partial discharge located in the transformer oil.

show abstract

“…For many years, the measurement of partial discharge (PD) has been employed as an effective means of assessing the insulation condition of high-voltage electrical apparatus [1][2][3]. Phase-resolved partial discharge (PRPD) patterns are the most effective tool to identify insulation defects [4].…”

Section: Introductionmentioning

confidence: 99%

Improved density peak clustering for separation of multiple source partial discharge in large generators

2019

Meas. Sci. Technol.

View full text Add to dashboard Cite

Multiple source partial discharge (PD) separation is indispensable in on-line PD measurements, particularly for large generators. For this purpose, an improved density peak clustering algorithm for the separation of a multi-source PD is presented. DPC is characterized by the selection of cluster centers from the decision graph labeled by local density and distance, while human involvement hinders its application toward automatic analysis. For complex PD data sets, the boundary between cluster centers and non-center points is often so fuzzy on the decision graph that the results are affected by human subjectivity. To overcome these drawbacks, an improvement to the determination method for cluster centers is presented, which is a key link in clustering. Based on the decision graph, a decision quantity is developed by multiplying the local density and distance. The local density peak points, with the decision quantity meeting specific criterion, are roughly defined as potential cluster centers, then the exact cluster centers are finally determined based on the defined density-reachable relationships between the potential cluster centers. The results of actual PD data sets demonstrate the effectiveness of the proposed algorithm and reveal the ability to separate PD data sets of arbitrary shape or uneven density, indicating the wide applicability prospects of the technique.

show abstract

Arrival time estimation methodology for partial discharge acoustic signals in power transformers based on a double-threshold technique

Cited by 6 publications

References 26 publications

Optimization of a Single Tube Practical Acoustic Thermometer

Optimization of a Single Tube Practical Acoustic Thermometer

Impact of Power Transformer Oil-Temperature on the Measurement Uncertainty of All-Acoustic Non-Iterative Partial Discharge Location

Improved density peak clustering for separation of multiple source partial discharge in large generators

Contact Info

Product

Resources

About