Electro-acoustic detection, identification and location of partial discharge sources in oil-paper insulation systems

Rubio-Serrano, Jesus; Rojas-Moreno, M. V.; Posada, Julio E.; Martínez-Tarifa, Juan Manuel; Robles, G.; García-Souto, José A.

doi:10.1109/tdei.2012.6311502

Cited by 68 publications

(43 citation statements)

References 16 publications

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“…The characteristics of the ultrasonic signals that are generated by the hydrophone are similar to those of the AEs from PDs [22].…”

Section: A Experimental Setupmentioning

confidence: 82%

“…There are different techniques for determining the TOA applied to the signals from PD, but it is common to use threshold or envelope threshold [4]. Other techniques are based on energy criterion or Akaike information criterion (AIC) [17], universal wavelet filtering (UWF) [7], and cross correlation with a pattern waveform that can be determined from wavelet components [22]. In this paper, the algorithm is based on an automatic peak detector in which the time instant is registered when 80% of the maximum peak is reached [23].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Instrumentation System for Location of Partial Discharges Using Acoustic Detection With Piezoelectric Transducers and Optical Fiber Sensors

Búa-Núñez

Posada-Román

Rubio-Serrano

et al. 2014

IEEE Trans. Instrum. Meas.

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“…The characteristics of the ultrasonic signals that are generated by the hydrophone are similar to those of the AEs from PDs [22].…”

Section: A Experimental Setupmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Instrumentation System for Location of Partial Discharges Using Acoustic Detection With Piezoelectric Transducers and Optical Fiber Sensors

Búa-Núñez

Posada-Román

Rubio-Serrano

et al. 2014

IEEE Trans. Instrum. Meas.

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“…Electromagnetic measurement methods adopt UHF antennas and inductive sensors such as Rogowski coils and high frequency current transformers (HFCTs) to acquire PD signals [111][112][113][114].…”

Section: Non-conventional Methodsmentioning

confidence: 99%

“…By considering the above issues, an optimal solution may resort to the combination of UHF or inductive sensors with acoustic sensors. UHF or inductive sensors can be used for triggering acoustic sensors to start recording PD signals [114]. Such solution can enhance immunity on generating false alarms due to an erroneous judgement from an individual PD sensor.…”

Section: Non-conventional Methodsmentioning

confidence: 99%

“…This can further reduce the transmission energy from the discharge sites. All these factors need to be considered for localizing PD sources in transformers using acoustic measurements.Electromagnetic measurement methods adopt UHF antennas and inductive sensors such as Rogowski coils and high frequency current transformers (HFCTs) to acquire PD signals [111][112][113][114].The acquired PD signals have various frequency components depending on the types of PD sources and insulation materials [97]. If these frequency components fall into a range of 300 MHz ~ 3 GHz, UHF detection can be applied.…”

mentioning

confidence: 99%

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Advanced signal processing techniques for online power transformer insulation diagnosis

Chan¹

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Power transformer is one of the most important assets in an electric utility. However, a large number of existing power transformers worldwide have already approached or even exceeded their designed lifetimes. Any failure of a transformer can be disastrous. Therefore, the conditions of transformers need to be continuously monitored and evaluated. Since a transformer's condition is largely dependent on its insulation system, a number of diagnostic methods have been developed for assessing transformer insulation conditions over the past decades. Among these methods, partial discharge (PD) measurement is widely adopted due to its capability of providing continuously online monitoring and diagnosis of a transformer without disturbing its normal operation.PD is a rather complicated phenomenon and stochastic in nature. Properly performing online PD measurements of a transformer, effectively analysing the measured PD signals, and subsequently making an informed condition assessment on a transformer's insulation system are still challenging.This thesis is aimed at developing advanced signal processing techniques for online PD monitoring and diagnosis of power transformer insulation systems.PD signals acquired at substation environments are always coupled with extensive noise, which exhibits different distribution properties. Therefore, PD signal de-noising is an essential process for accurately extracting PD signals from the acquired noise-corrupted signals before further analysis. In this thesis, advanced signal processing techniques, such as wavelet transform (WT), empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), blind equalization (BE) and pre-whitening, have been investigated for removing discrete spectral interference (DSI) that exhibits sinusoidal behaviour at various frequencies. Mathematical morphology (MM) has also been investigated for suppressing white noise by adaptively selecting threshold values. To remove stochastic noise, fractal dimension and entropy analyses have been investigated. Based on these techniques, several adaptive PD signal de-noising methods have been proposed in this thesis for removing different types of noise. A number of case studies using PD signals acquired from both laboratory experiments and online PD measurements of field transformers are presented. These case studies demonstrate advantages of the proposed PD signal de-noising methods over conventional methods in PD signal de-noising.In this thesis, phase-resolved pulse sequence (PRPS) diagrams and kurtograms have also been proposed for consistent representations of PD patterns after the noise has been removed. Case studies have been provided to prove a PRPS diagram's capability for accurately and consistently ii representing PD patterns. This representation can minimize influences of different types of PD sensors and measurement systems on PD pattern construction. Results are presented to demonstrate that kurtograms can be used to represent PD patterns even in the presence of extensive w...

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Advanced Signal Processing Techniques for Partial Discharge Measurement

Saha¹,

Purkait²

2017

Transformer Ageing

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Electro-acoustic detection, identification and location of partial discharge sources in oil-paper insulation systems

Cited by 68 publications

References 16 publications

Instrumentation System for Location of Partial Discharges Using Acoustic Detection With Piezoelectric Transducers and Optical Fiber Sensors

Instrumentation System for Location of Partial Discharges Using Acoustic Detection With Piezoelectric Transducers and Optical Fiber Sensors

Advanced signal processing techniques for online power transformer insulation diagnosis

Advanced Signal Processing Techniques for Partial Discharge Measurement

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