Cast-resin dry-type transformer partial discharge signal analysis using spectral correlated empirical mode decomposition method

Ya Wen Tang, Ching Chau Su, Cheng-Chi Tai, Jiann-Fuh Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cast-resin dry-type transformers are widely used in high power applications. Long-term operation increases the extent of damages if no proper safeguards are taken. The major cause of transformer damages is insulation deterioration, which is correlated with partial discharge (PD) occurrence. Recent PD research studies have focused on how to locate the PD occurrence and improve the accuracy of PD detection. The best way to improve the accuracy is to locate the elements affected by the PD. Based on the empirical mode decomposition (EMD) method, the correlated-EMD method (CEMD) was proposed to filter out the uncorrelated intrinsic-mode functions (IMFs), and reveal a PD-affected signal as the filtered result. The spectral CEMD method proposed herein improves the screening process especially for those IMFs with low-frequency vibrations. The results of the spectral CEMD method showed the clearer pattern for PD detection than that of the CEMD method. This algorithm can provide useful information for PD analyses and improve PD identification.

Original languageEnglish
Title of host publication2013 IEEE International Instrumentation and Measurement Technology Conference
Subtitle of host publicationInstrumentation and Measurement for Life, I2MTC 2013 - Proceedings
Pages523-527
Number of pages5
DOIs
Publication statusPublished - 2013 Aug 23
Event2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Minneapolis, MN, United States
Duration: 2013 May 62013 May 9

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Other

Other2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013
CountryUnited States
CityMinneapolis, MN
Period13-05-0613-05-09

Fingerprint

Partial discharges
Signal analysis
Resins
Decomposition
Deterioration
Insulation
Screening

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Tang, Y. W., Su, C. C., Tai, C-C., & Chen, J-F. (2013). Cast-resin dry-type transformer partial discharge signal analysis using spectral correlated empirical mode decomposition method. In 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings (pp. 523-527). [6555472] (Conference Record - IEEE Instrumentation and Measurement Technology Conference). https://doi.org/10.1109/I2MTC.2013.6555472
Tang, Ya Wen ; Su, Ching Chau ; Tai, Cheng-Chi ; Chen, Jiann-Fuh. / Cast-resin dry-type transformer partial discharge signal analysis using spectral correlated empirical mode decomposition method. 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings. 2013. pp. 523-527 (Conference Record - IEEE Instrumentation and Measurement Technology Conference).
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abstract = "Cast-resin dry-type transformers are widely used in high power applications. Long-term operation increases the extent of damages if no proper safeguards are taken. The major cause of transformer damages is insulation deterioration, which is correlated with partial discharge (PD) occurrence. Recent PD research studies have focused on how to locate the PD occurrence and improve the accuracy of PD detection. The best way to improve the accuracy is to locate the elements affected by the PD. Based on the empirical mode decomposition (EMD) method, the correlated-EMD method (CEMD) was proposed to filter out the uncorrelated intrinsic-mode functions (IMFs), and reveal a PD-affected signal as the filtered result. The spectral CEMD method proposed herein improves the screening process especially for those IMFs with low-frequency vibrations. The results of the spectral CEMD method showed the clearer pattern for PD detection than that of the CEMD method. This algorithm can provide useful information for PD analyses and improve PD identification.",
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Tang, YW, Su, CC, Tai, C-C & Chen, J-F 2013, Cast-resin dry-type transformer partial discharge signal analysis using spectral correlated empirical mode decomposition method. in 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings., 6555472, Conference Record - IEEE Instrumentation and Measurement Technology Conference, pp. 523-527, 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013, Minneapolis, MN, United States, 13-05-06. https://doi.org/10.1109/I2MTC.2013.6555472

Cast-resin dry-type transformer partial discharge signal analysis using spectral correlated empirical mode decomposition method. / Tang, Ya Wen; Su, Ching Chau; Tai, Cheng-Chi; Chen, Jiann-Fuh.

2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings. 2013. p. 523-527 6555472 (Conference Record - IEEE Instrumentation and Measurement Technology Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Cast-resin dry-type transformers are widely used in high power applications. Long-term operation increases the extent of damages if no proper safeguards are taken. The major cause of transformer damages is insulation deterioration, which is correlated with partial discharge (PD) occurrence. Recent PD research studies have focused on how to locate the PD occurrence and improve the accuracy of PD detection. The best way to improve the accuracy is to locate the elements affected by the PD. Based on the empirical mode decomposition (EMD) method, the correlated-EMD method (CEMD) was proposed to filter out the uncorrelated intrinsic-mode functions (IMFs), and reveal a PD-affected signal as the filtered result. The spectral CEMD method proposed herein improves the screening process especially for those IMFs with low-frequency vibrations. The results of the spectral CEMD method showed the clearer pattern for PD detection than that of the CEMD method. This algorithm can provide useful information for PD analyses and improve PD identification.

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Tang YW, Su CC, Tai C-C, Chen J-F. Cast-resin dry-type transformer partial discharge signal analysis using spectral correlated empirical mode decomposition method. In 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings. 2013. p. 523-527. 6555472. (Conference Record - IEEE Instrumentation and Measurement Technology Conference). https://doi.org/10.1109/I2MTC.2013.6555472