Identification of partial discharges in power transformers: An approach driven by practical experience

Ganeshan, Sriram; Murugesan, J.; Cavallini, A.; Negri, Fabrizio; Valecillos, B.; Piovan, U.

doi:10.1109/mei.2017.8014388

Cited by 17 publications

(9 citation statements)

References 16 publications

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“…The PD signals measured by the authors in [28] were taken as test signals. The partial discharge analysis was performed in a shielded area using HV source of 5 kVA, 220 V/100 kV single-phase transformer manufactured by Phenix Technologies.…”

Section: Measured Partial Discharge Signalmentioning

confidence: 99%

Development of Hankel‐SVD hybrid technique for multiple noise removal from PD signature

Govindarajan

Jayalalitha

Cavallini

et al. 2019

IET Science, Measurement & Technology

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Section: Measured Partial Discharge Signalmentioning

confidence: 99%

Development of Hankel‐SVD hybrid technique for multiple noise removal from PD signature

Govindarajan

Jayalalitha

Cavallini

et al. 2019

IET Science, Measurement & Technology

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“…The data is acquired at a sampling rate of one sample per 2.5 ns [28]. [29]. Simulated white noise is added with PD signal and denoised by wavelet and EMD.…”

Section: Case Study-imentioning

confidence: 99%

HANKEL‐EM‐SVD: a hybrid data dropout estimation technique for high voltage partial discharge signals

Govindarajan

Jayalalitha

Kannan

et al. 2019

IET Science, Measurement & Technology

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“…The sign of the insulation deterioration is monitored by identifying the PD activity. The PD emitted from the insulation defect reflects the condition of the transformer [4]- [8]. The PD can be monitored via offline and online monitoring systems.…”

Section: Introductionmentioning

confidence: 99%

Fiber Optic Acoustic Sensor Based on SMS Structure With Thin Polymer Diaphragm for Partial Discharge Detection

et al. 2020

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This paper proposes a fiber optic acoustic sensor (FOAS) based on a single-mode fibermultimode fiber-single-mode fiber (SMS) structure attached to a thin polymer film used as a diaphragm. The diaphragm was specially developed to enhance the sensitivity towards the acoustic pressure-wave resulted from the partial discharge (PD) events. The sensitivity and signal-to-noise ratio (SNR) characterizations of the FOAS without and with a thin polymer film were performed. Both time-resolved and phase-resolved partial discharge (PRPD) patterns measurements were carried out in air and oil media. The experiment was conducted with three-electrodes using FOAS in conjunction with the conventional PD measurement as per IEC 60270 standard. The sensor achieved a sensitivity up to-31.21 dBm and-30.8 (0 dBm is defined as 1V/µBar) using broadband and tunable light source, respectively. The discharge characteristics pattern of FOAS was verified with IEC 60270 standard, and the patterns of FOAS resembled IEC 60270 standard. The proposed FOAS was capable for detecting the PD using both broadband and tunable laser lights. The use of the thin polymer film had a significant impact on the acoustic sensitivity. With the simple, low-cost design structure and free from electromagnetic interference, FOAS is found to be suitable as an in-situ sensor for detecting the acoustic signals of partial discharge and can be utilized inside the transformer.

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Identification of partial discharges in power transformers: An approach driven by practical experience

Cited by 17 publications

References 16 publications

Development of Hankel‐SVD hybrid technique for multiple noise removal from PD signature

Development of Hankel‐SVD hybrid technique for multiple noise removal from PD signature

HANKEL‐EM‐SVD: a hybrid data dropout estimation technique for high voltage partial discharge signals

Fiber Optic Acoustic Sensor Based on SMS Structure With Thin Polymer Diaphragm for Partial Discharge Detection

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