Measurement and analysis of SF6 decomposition products under two types of partial discharges

In order to recognize partial discharge by analysis of SF6 decomposition products, the decomposition characteristic of SF6 under different partial discharges should be investigated, and also the feature parameters of decomposition products should be found. The decomposition of SF6 is simulated under partial discharge generated by needle defect and contamination defect respectively on the SF6 decomposition equipment made especially for the experiment. Three kinds of byproducts namely CF4, SO2F2 and SOF2 are detected, and their concentration changes with time are also studied. After that, the characteristics of three kinds of concentration ratios namely SOF2/SO2F2, SO2F2/CF4 and SOF2/CF4 under two defects are analyzed. The results show that SOF2, SO2F2 and CF4 exist in the byproducts under both the two defects. Moreover, the increase rules of the three kinds of byproducts under two defects are obviously different. Meanwhile the results illustrate that the three contamination ratios under the two defects have a notable disparity. Therefore the concentration ratios of the decomposition products can be used as feature parameters for partial discharge recognition.     

Application of the Weibull Distribution for the Recognition of Transformer PD Phenomena

The problem of identification of partial discharge phenomena occurring in a transformer insulating system is addressed. Under the assumption that different PD sources can produce pulse of different PD distributions, five typical artificial defects have been designed to compare the PD distributions coming from different sources, such as internal voids, surface and corona discharges. In this aim, Weibull distribution has been introduced to estimate the parameters and the least square methods (LSM) have been used to estimate the parameters. The goodness of fit to a Weibull distribution is checked by the Cramer-von-Mises (CVM) test. It is shown that the probability function fits well the partial discharge height distribution. By this way,different discharge sources can be distinguished. by Weibull parameter. In addition, the recognition of two or more PD phenomena simultaneously active is approached by means of an additive Weibull distribution. It allows quantities related to each of the two or more superimposed PD phenomena to be estimated, according to the Weibull parameters and the standard mean quantities.     

Application of Wavelet Denoising in Partial Discharge Online Monitoring of Transformer

Because of the strong interferences, such as discrete spectrum interferences (DSI), white noise and pulse-shaped interferences, it is still a difficult work to extract the partial discharge (PD) signal for transformer online monitoring techniques. Through deeply study on the automatic selection of threshold value and mother wavelet, the wavelet-based de-noising method for partial discharge signals is proposed. The analyzing results on simulation signal and field-measured signal indicate that the proposed method is fit for de-noising white noise but for DSI the comparably worse de-noising results is acquired. Hence it is predicted that good de-noising results will be achieved with the wavelet-based de-noising method combined with digital filtering method fitting for de-noising DSI.     

Statistical characteristics analysis of partial discharge in high voltage cable joint

Four typical physical models for the internal insulation defects of 110kV cable joint are designed, while the test platform for Partial Discharges (PD) research on cable joint is constructed. A large number of PD data under different models are obtained by inner broadband ring sensor. The statistical analysis on the PD pattern indicates that there are significant differences between four PD forms on the statistical characteristics such as the phase distribution, skewness, kurtosis and degree of asymmetry, which can be used as effective features to reflect different characteristics of PD. Surface discharge and conductive particles may cause more serious damage to the insulation performance of cable joint, so high precaution should be paid on site operation.     

Study on the New Technology of Extracting PD in Strong Noise Environment With Complex Wavelet

Based on existing research, this paper analyzes and compares the phase information characters between partial discharge signal (PD) and its disturbance, and also extracts the feature of Partial Discharge with complex wavelets in noise environment. The research demonstrates that complex wavelets are more superior to original real wavelets in identifying Partial Discharge signal, and those simulated applications and the datum from laboratory can guarantee the effectiveness of the extraction of the feature of Partial Discharge and the restraint of the strong electromagnetic disturbance.     

Deductive Models of Concentration Field for Locating the Death in Mine and Its Application

Based on the idea of locating the death in the collapsed area of mine by the gas released from the organism decomposition proposed by the authors, this paper presents the Least Multiply Square (LMS) model for the location and develops two kinds of ANN models for the locating computation. The results of the organism decomposition experiment indicates that the Back Propagation (BP) is better for locating the death in mine. Above works are set up the foundation of the theoretical analysis and the technical development for locating the death by analyzing the concentration distribution of the marker gas, mercaptans, in mine. Based on the technology developed, the period, for the rescue team members staying in that risk area, can be shorten. The rescue work achieve a step forward for more reasonable, feasible and efficient.     

Application of Fractal Theory in the Petroleum Gas Testing of Seismographical Channel

The seismographical channel is a chaotic time series.The trajectory of the motion of chaos in some region of the phase space via fold,torsion and stretch infinite times,constitutes a self similarity structure with infinite hierarchical imbeddings.We process the date of cross section of reflection point of the joint wells which are composed by the signals of the practical seismographical channel,using the method of reconstructing phase space (i.e. the Grassberger Procaccia algorithm) to compute the correlation dimension of each channel,and compared with the data of the practical drilling wells,and we explain the relationship between the correlation dimensions and the results of the drilling wells.They are agreeable quite well.     

conductivity of a TiO2 cathode in the FFC process and analysis of its influencing factors

The conductivity of a TiO2 cathode in the FFC process was studied by sintering and electrolyzing experiments. Sintered TiO2 cathode and electrochemical reduction of TiO2 were measured using X ray diffraction. Results show that changing the energy band structure of TiO2 via high temperature sintering can cause electric conduction vacancy. An electric double layer can be formed in molten salt. Ionization of oxygen atoms leads to formation of TiO2 x ionic structures. The ions infiltrate to the electrode in molten salt, increasing the number of conduction ions. The electrolyzing process proceeds smoothly, based on the integrated mechanism of activating the TiO2 cathode. The activated TiO2 cathode can be obtained by forming electric conduction vacancy at high temperature sintering, the TiO2 x ionic structure by electric double layer, and ions infiltrating to the interior of the electrode.