Partial Discharge Automatic Monitor for Oil-Filled Power Transformer

Kawada, Hiroaki; Honda, Masaki; Inoue, Tomoyasu; Amemiya, Takashi

doi:10.1109/tpas.1984.318261

Cited by 43 publications

(14 citation statements)

References 5 publications

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“…In this linear region the ac electrical output of the sensor V͑P͒, is proportional to the air-gap change y 0 ͑P͒ that is caused by acoustic pressure P and can be expressed as V͑P͒ ϭ Gᑬ␣S 0 I ac ͓L 0 ϩ y 0 ͑P͔͒ ϭ S oe y 0 ͑P͒, (6) where S 0 is the fringe sensitivity, i.e., the slope of the fringes in the linear regions; ᑬ is the responsivity of the InGaAs photodetector, ϳ0.9 at 1300 nm; G is the total gain of the optical receiver; I ac ͓L 0 ϩ y 0 ͑P͔͒ is the ac component of the received optical signal; y 0 ͑P͒ is the diaphragm deflection caused by acoustic pressure P; S oe is the total optical and electrical sensitivity with respect to the air-gap change; and…”

Section: ϫ3mentioning

confidence: 99%

“…6 To respond faithfully to dynamic acoustic wave pressure requires that the resonant frequency of the diaphragm be higher than the highest applied frequency. For reference only, and subject to the same assumptions for the calculation of sensitivity, the undamped n-order resonant frequency of a rigidly clamped diaphragm can be expressed as 29 f n ϭ ␣h…”

Section: Frequency Responsementioning

confidence: 99%

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Fiber Fabry-Perot sensors for detection of partial discharges in power transformers

et al. 2003

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A diaphragm-based interferometric fiber optic sensor that uses a low-coherence light source was designed and tested for on-line detection of the acoustic waves generated by partial discharges inside high-voltage power transformers. The sensor uses a fused-silica diaphragm and a single-mode optical fiber encapsulated in a fused-silica glass tube to form an extrinsic Fabry-Perot interferometer, which is interrogated by low-coherence light. Test results indicate that these fiber optic acoustic sensors are capable of faithfully detecting acoustic signals propagating inside transformer oil with high sensitivity and wide bandwidth.

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Section: ϫ3mentioning

confidence: 99%

Section: Frequency Responsementioning

confidence: 99%

Fiber Fabry-Perot sensors for detection of partial discharges in power transformers

et al. 2003

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“…An accurate location of the discharge or breakdown location saves time in the subsequent repair of the insulation. Acoustic methods have also been proposed for in-service monitoring of transformers [18,19].…”

Section: Transformersmentioning

confidence: 99%

Partial discharge. XIV. Acoustic partial discharge detection-practical application

Lundgaard¹

1992

IEEE Electr. Insul. Mag.

255

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“…Accordingly, research on insulation diagnostic techniques is being actively carried out. Electrical insulation is an important factor in the performance of power facilities; however, the insulation performance of the power facilities decreases because of mechanical, electrical, thermal, chemical, and environmental stress [1][2][3][4]. As power transformer accidents cause large outage areas and huge cost to repair, on-line monitoring and periodic diagnosis is required for stable power supply [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Characteristic Analysis and Origin Positioning of Acoustic Signals Produced by Partial Discharges in Insulation Oil

Park¹,

Jo²,

Kim³

et al. 2013

Journal of Electrical Engineering and Technology

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-This paper dealt with the propagation characteristics of acoustic signals produced by partial discharges and the positioning of PD origin in insulation oil to develop insulation diagnostic techniques of oil-immerged transformers. Electrode systems such as needle to plane, plane to plane, and particle electrodes were fabricated to simulate some defects of power transformers. In addition, the frequency spectrum and propagation characteristics of acoustic signals with partial discharge (PD) in insulation oil were analyzed. Although there were differences based on the type of defect, the frequency spectra of the acoustic signals measured by wide and narrow band acoustic emission (AE) sensors were distributed in the range of 50 kHz-400 kHz. Therefore, a narrowband AE sensor is suitable for the diagnosis of oil-immersed power transformers. We could find the position of the PD source with an error margin of 10% in the experiments by calculating the position of the PD occurrence using the time difference of arrival measured by five AE sensors.

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Partial Discharge Automatic Monitor for Oil-Filled Power Transformer

Cited by 43 publications

References 5 publications

Fiber Fabry-Perot sensors for detection of partial discharges in power transformers

Fiber Fabry-Perot sensors for detection of partial discharges in power transformers

Partial discharge. XIV. Acoustic partial discharge detection-practical application

Characteristic Analysis and Origin Positioning of Acoustic Signals Produced by Partial Discharges in Insulation Oil

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