Investigation on phenomena caused by insulation abnormalities in actual GIS

Hasegawa, Y.; Izumi, Kunikazu; Kobayashi, Akio; Wakabayashi, S.; Murase, Hiroshi; Akazaki, M.; Menju, S.

doi:10.1109/61.296259

Cited by 10 publications

(3 citation statements)

References 9 publications

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“…Construction cost based on these algorithms is low. However，these methods have their weak points as the location result changes because system parameter is variable [3]. A new method called fault location algorithm using traveling wave is now a hotspot [4].…”

Section: Introductionmentioning

confidence: 99%

Waveform Recognition Technology in Distributed Fault Location of Transmission Line

Ding

Zheng

et al. 2014

AMM

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Distributed way of traveling-wave fault location algorithm is a new theory founded in recent years. By installing sensing points in distributed way, the accuracy of fault location result can be clearly improved comparing to traditional methods. First, PSCAD is used to simulate the transmission line model and measure the three-phase current data. Second, by using wavelet transformation and phase to-module transformation, these current data is mathematically processed and modulus maximum is achieved easily. Finally, time difference between the adjacent modulus maximum points is calculated and the location is figured out by using the module time-difference algorithm. The test result shows that the method above is valid and the relative error is rather small.

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Section: Introductionmentioning

confidence: 99%

Waveform Recognition Technology in Distributed Fault Location of Transmission Line

Ding

Zheng

et al. 2014

AMM

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“…Partial discharge is both the sign and the forms of insulation deterioration, which causes further deterioration in GIS [1,2]. Therefore, the partial discharge detection is now recognized as the most effective way in GIS insulation test and diagnosis [3,4].…”

Section: Introductionmentioning

confidence: 99%

Defects Identification of Partial Discharge Map in GIS

Zhang

Zheng

et al. 2013

AMM

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With GIS being widely used, partial discharge detecting and defect pattern recognition become more and more meaningful and important. To realize defects identification of partial discharge map in GIS, a novel method based on Radical Basis Function (RBF) neural network is proposed. Firstly, a model is constructed to simulate the discharge pattern map by the use of random function randint. Secondly, based on the model above, a lot of data which meet the condition can be collected to provide for pattern recognition. Then, a RBF network is introduced to identify the pattern recognition. It can be trained by using the data above. Finally, through changing training error, high correct rate can be got. These indicate that the method is effective.

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“…Many investigations related to particle initiated breakdown have been carried out [1][2][3][4]. In this paper the influence of particle position on breakdown voltage and surface deterioration due to particle corona have been investigated for a post-spacer using 3D finite element calculations.…”

Section: Introductionmentioning

confidence: 99%