New Diagnosis Approach to Epoxy Resin Transformer Partial Discharge Using Acoustic Technology

Chen, Li-Jung; Tsao, Ta‐Peng; Lin, Yun

doi:10.1109/tpwrd.2005.855425

Cited by 37 publications

(20 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ultrasonic detector has the frequency range from 20 kHz to 100 kHz and the central frequency of 40 kHz is applied in this work, similar to that used by others [1][2][6][7][8]. The diagram of the non-contact method applied in this work is shown in Fig.…”

Section: Experimental Work and Data Verificationmentioning

confidence: 99%

“…The maximum values accumulated will then be extrapolated. The extrapolation can be described as shown in (2). Every dataset and references set will be extrapolate.…”

Section: Working Principle Of Spdi Algorithmsmentioning

confidence: 99%

“…The insulation material of electrical power equipment will gradually deteriorate after a long period of time, causing partial discharge (PD) phenomena to occur which will eventually lead to complete insulation breakdown [1][2]. For this reason, detecting partial discharge is useful for the insulation assessment and to predict the life of the insulation [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…For this reason, detecting partial discharge is useful for the insulation assessment and to predict the life of the insulation [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…In general, there are two methods in detecting PD which are non-electrical (non-contact) method or electrical method [1][2][3][4]8]. The electrical method usually uses impedance to measure the voltage impulse, and coupling capacitor to measure the current impulse and apparent charge.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A New Reliable Algorithm for Identifying Types of Partial Discharge Detected through Ultrasonic Emission

Hapeez

Hamzah

Hashim

et al. 2014

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-This paper presents a simple, consistent and reliable technique to identify detected partial discharges (PD) using an acoustic ultrasonic method. A new reliable algorithm named 'Simple Partial Discharge Identifier' (SPDI) is proposed to perform identification process of the detected ultrasonic signals of PD. Experimental works based on recommended practices were setup and the ultrasonic signals of the PD were recorded. The PD data is then employed as the reference data. The SPDI developed has been tested against commonly used models in Neural Network (NN). Results from the SPDI algorithm shows more reliable results compared to NN models results. Comparison made on the mean square error (MSE) results shows SPDI produces the desired outcome with lower MSE in 97.17% of trials. Low error of SPDI indicates a high reliability to be applied in the identification of PD.

show abstract

Section: Experimental Work and Data Verificationmentioning

confidence: 99%

“…The maximum values accumulated will then be extrapolated. The extrapolation can be described as shown in (2). Every dataset and references set will be extrapolate.…”

Section: Working Principle Of Spdi Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…For this reason, detecting partial discharge is useful for the insulation assessment and to predict the life of the insulation [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations