A 3-D numerical simulation of partial discharge acoustic wave propagation in a model transformer

Akumu, A. O.; Adachi, Futoshi; Kawaguchi, Noboru; Ozaki, Ryotaro; Ihori, Haruo; Fujii, Masaharu; Arii, Kiyomitsu

doi:10.1109/elinsl.2002.995908

Cited by 16 publications

(7 citation statements)

References 2 publications

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“…In the current literature, to solve the PDEs that describes the wave equation, the FDTD method has been widely used [2]- [6]. However there are some limitations with FDTD techniques, e.g.…”

Section: Problem Formulationmentioning

confidence: 99%

“…[5] discussed a theoretical model for ultrasonic wave propagation and methods of measuring the propagation time while Akumu et. al [6] presented a basic 3-D numerical simulation for PD acoustic waves. In order to build upon previous work, the work presented here is a more detailed and complete simulated AE model based on FEA techniques to help understand more completely the properties of PD acoustic signal propagation within different plant environments.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

3-D Simulation and Modelling of Acoustic Signals from Partial Discharge Activity

Ashraf¹,

Stewart

Zhou

et al. 2006

2006 IEEE Conference on Electrical Insulation and Dielectric Phenomena

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This paper presents a 3-D simulation study of the basic propagation of partial discharge (PD) Acoustic emission (AE) signals from structures akin to high voltage equipment such as switchgear. Partial differential equations (PDE) describing the signals have been developed and solved using Finite Element Analysis (FEA) rather than Finite Difference Time Domain (FDTD) which has been used by different authors. The study described in this paper helps to investigate the propagation behaviour of the AE waves at the interface of two different media namely oil and steel. Reflection, refraction and scattering of the PD shock waves are simulated and displayed in 3-D model. The results show that the signals can alter significantly based on the location of the PD and also the properties of the oil and steel, particularly temperature. This is a new result and particularly important in relation to the interpretation and understanding of practically measured AE PD signals. The work presented here will therefore assist in PD diagnosis and aid in understanding better the properties and characteristic of acoustic PD activity.

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“…In the current literature, to solve the PDEs that describes the wave equation, the FDTD method has been widely used [2]- [6]. However there are some limitations with FDTD techniques, e.g.…”

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

3-D Simulation and Modelling of Acoustic Signals from Partial Discharge Activity

Ashraf¹,

Stewart

Zhou

et al. 2006

2006 IEEE Conference on Electrical Insulation and Dielectric Phenomena

View full text Add to dashboard Cite

show abstract

“…[18][19] investigated the PD acoustic pressure wave distribution inside a transformer model. [20][21] studied the PD acoustic pressure wave distribution inside a transformer using a simulation model and experimental results. Most of the previous papers that studied acoustic PD wave propagation inside transformers with FEM analysis did not present a comprehensive model of a real transformer.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers

et al. 2022

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This paper addresses the localization of Partial Discharge through a 3D Finite Element Method analysis of acoustic wave propagation inside a 3-phase 35kV transformer with the help of COMSOL Multiphysics software. Due to the complexity inside transformers, acoustic waves generated by PDs cannot simply be detected with typical acoustic sensors, especially when PDs happen inside inner windings. These waves are distorted and attenuated along with their propagation. The type, number, and position of sensors are essential factors in PD localization inside a transformer. A new installation arrangement of fiber-optic acoustic sensors inside the transformers is proposed with this information. This array of acoustic sensors has significant effects on PD localization accuracy and has immunity from on-site noise and interference; more importantly, they can be installed after transformer manufacturing. They are reachable if needed to be repaired or replaced. Several numerical studies have been carried out considering different PD source positions, and the Levenberge-Marquardt algorithm is employed for solving localization equations.

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“…In the current literatures, to solve the PDEs that describes the wave equation, Finite Difference Time Domain (FDTD) method has been widely used [7]- [11]. However there are some limitations with FDTD technique, e.g.…”

Section: Problem Formulationmentioning

confidence: 99%