Papers by Keyword: Partial Discharge (PD)

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Authors: Mohd Muhridza Yaacob, Malik Abdulrazzaq Alsaedi
Abstract: The partial discharge (PD) phenomenon is very harmful for electrical appliances and its early detection could be a cost effective approach for the industry. Although many techniques are used for PD detection yet no technique has presented widely acceptable solution. Still the subject needs parallel study of the detection techniques. In this study, partial discharge signal has been captured by the three techniques using fiber optic sensor (FOS), Piezoelectric Sensor (PZT), leakage current (LC) techniques. In these experiments, FOS shows good sensitivity in the range of applied high voltage > 5 kV. The sensitivity and noise level of PD signal was different in these two experiments. The location of a PD was demonstrated in a 500 gallon water tank using convolution method.
316
Authors: Mohd Muhridza Yaacob, Malik Abdulrazzaq Alsaedi
Abstract: The partial discharge (PD) phenomenon is very harmful for electrical appliances and its early detection could be a cost effective approach for the industry. Although many techniques are used for PD detection yet no technique has presented widely acceptable solution. Still the subject needs parallel study of the detection techniques. In this study, partial discharge signal has been captured by the three techniques using fiber optic sensor (FOS), Piezoelectric Sensor (PZT), leakage current (LC) techniques. In these experiments, FOS shows good sensitivity in the range of applied high voltage > 5 kV. The sensitivity and noise level of PD signal was different in these two experiments.
277
Authors: Bin Liu, Jing De An, Wei Dong Zhang, You Lin Xu
Abstract: The selection and design of the sensor is one of the key technologies for UHF PD detection. The UHF sensors popular used in PD detection and location in substation are partial discharge UHF sensor are usually ultra wideband antenna in the frequency range of 200 MHz to 1.5 GHz, which contains interference from communication signals. Accordingly, in order to improve the detection sensitivity and the signal-to-noise ratio, a kind of multi-band UHF narrowband sensor is proposed and designed in accordance with the principles of the loop antenna for PD detection. The proposed frequency resonant bands are set in the ranges of 480MHz-520MHz, 800MHz-850MHz and 1.1GHz-1.2GHz. The design based on simulation is finished and the performances of the prototype sensor are researched by parametric test and PD detection of three typical discharges: corona discharge, surface discharge and metallic particles discharge generated by PD mode. Results show that the selection of band for the UHF sensor is reasonable, and the sensor is with high sensitivity.
435
Authors: Fang Cheng Lv, Hu Jin, Zi Jian Wang, Bo Zhang
Abstract: GIS partial discharge pattern recognition is an important part of its state evaluation, authors have set up 252kV GIS partial discharge detection simulation experiment platform based on UHF detection method, and designed four kinds of typical partial discharge models in laboratory, then established corresponding UHF signal mapping database through the experimental method, and also extracted the original feature parameters; because the original characteristic dimension is high, which is bad for pattern recognition, based on this, the article uses a species mean kernel principal component analysis method, it mapped the partial discharge original data samples to high-dimensional feature space, at first, it calculate all kinds of class mean vector data, and then do principal component analysis based on class mean vector space, build the class average kernel matrix, at last, the class kernel mean principal component analysis algorithm is established. Results show that characteristic of this method contained all the information of the original data, and dimension is less than GIS insulation defect category numbers, and it can realize data dimension reduction without information loss, which improve the pattern recognition rate.
2105
Authors: Hui Qi Li, Kai Hong Wang
Abstract: A partial discharge (PD) signal processing method based on dynamic measurement theory and wavelet transform is proposed in this paper. The deterministic component was separated by polynomial fitting, and the random component of the remaining residual after the separation was estimated using autoregressive (AR) model; The true value estimate and dynamic measurement uncertainty of noisy signal were obtained by the deterministic component and random component;Db8 wavelet and the soft threshold based on Stein’s Unbiased Estimate of Risk were used to smoothly denoise for better PD signal processing. Finally, the effectiveness of the method was verified by MATLAB simulation and experimental noisy PD signal extraction.
1163
Authors: Jia Wei Fei, Xiong Jie Zeng, Yi Wei Zhang, Hong Wei Wang, Jian Tong Zhang
Abstract: Electric equipment breakdown is mainly caused by Partial Discharge (PD), so identification and diagnosis of PD are of great importance to the maintenance of electric equipment. This research analyzes the field TEV data of PD using SVM theory and establishes a model to detect and analyze PD, with related experiments verifying the validity of the model. According to the experience on site, we redesign the evaluation criteria and build a new model to guarantee that the identification rate reaches over 80%. The comparative experiment indicates that the SVM method proposed in this paper performs better on PD detection than BP Neural Network, laying foundation for further research.
633
Authors: Rong Hui Huang, Rui Peng Li, Ying Yu, Long Zhang, Ya Xing, Hong Jie Li
Abstract: The principle of detection of partial discharge in MV Metal-Clad Switchgears utilizing Transient Earth Voltage (TEV) method is introduced and some problems in application of the traditional PD detection systems are summarized and analyzed. After that, an improved PD detection system is proposed and established with an advanced technique. The technique involves use of energy method to determine time difference among multiple signals and external trigger method to realize phase integrity during data acquisition process. Laboratory experiment and site tests are conducted and it is proved that the improved detection system is of great effectiveness in PD location and interference identification.
1432
Authors: F.C. You, Y. Zhang
Abstract: In order to overcome the discontinuance of the hard thresholding function and the defect of slashing singularity more seriously in the soft thresholding function, and improve the denoising effect and detect the transformer partial discharge signal more accurately, this paper puts forward an improved wavelet threshold denoising method through analyzing the interference noise of transformer partial discharge signals and studying various wavelet threshold denoising method, especially the wavelet threshold denoising method that overcomes the shortcomings of the hard and soft threshold. Simulation results show that the denoising effect of the method has been greatly improved than the traditional hard and soft threshold method. This method can be widely used in practical transformer partial discharge signal denoising.
148
Authors: Chuan Li Gong, Yuan Wan, Hai Long Chi, Ye Ping Yang
Abstract: Partial discharge (PD) pulses recognition, which is directly related to the credibility of PD online measurement results, is the key technology of the high-voltage (HV) equipment PD online monitoring. In this paper, a pulses recognition method during PD online measurement was put forward to extract PD pulses buried in external interferences, the method adopted three key steps to identify PD pulses: (a) Firstly, two pretreatments, including discrete spectrum interferences (DSI) suppression and single pulse boundaries determination, are used to convert several consecutive power cycles on-site monitoring signal to plenty of pulse - time sequences; (b) Then, an optimized adaptive clustering algorithm is adopted to classify all pulses into certain categories (c) Finally, the three-dimensional distribution of each category which indicated the pulses phase distribution with power cycles was calculated, and the PD pulses were identified by the statistics characteristics of their three-dimensional distribution. At present, the PD pulses recognition method has been used in industrial application, and on-site monitoring signal processing results has proved the effectiveness of the method.
208
Authors: Qing Xie, Feng Liao, Wei Tao Hu
Abstract: A new high-precision method to orient the ultrasonic linear array signals was proposed in this paper. First, the FastICA algorithm was used to de-noise the ultrasonic linear array signals; then the TCT algorithm is used to focus the ultrasonic linear array signals to greatest extent to cumulate the position information of broadband signals, the FastDOA is used to estimate the direction-of-arrival (DOA) of focused narrowband signals to speed up the calculation after focusing; Then, the application of partial discharge detection using this method was studied, the estimated accuracy of the method was simulated with different SNR(Signal to Noise Ratio) at first, the results show that the errors of DOA were about 2°;At last, the results from some experiments show that the errors were about 3.5°, which indicates that this estimation method is with a good accuracy.
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