Flashover Prediction of Polymeric Insulators Using PD Signal Time-Frequency Analysis and BPA Neural Network Technique

Abstract

-Flashover of power transmission line insulators is a major threat to the reliable operation of power system. This paper deals with the flashover prediction of polymeric insulators used in power transmission line applications using the novel condition monitoring technique developed by PD signal time-frequency map and neural network technique. Laboratory experiments on polymeric insulators were carried out as per IEC 60507 under AC voltage, at different humidity and contamination levels using NaCl as a contaminant. Partial discharge signals were acquired using advanced ultra wide band detection system. Salient features from the Time-Frequency map and PRPD pattern at different pollution levels were extracted. The flashover prediction of polymeric insulators was automated using artificial neural network (ANN) with back propagation algorithm (BPA). From the results, it can be speculated that PD signal feature extraction along with back propagation classification is a well suited technique to predict flashover of polymeric insulators.

Identification of Open-Switch and Short-Switch Failure of Multilevel Inverters through DWT and ANN Approach using LabVIEW

“…where S k and Y k are respectively the desired and measured output for the k th input set and m is the total number of input sets [15,[22][23]. The details of the optimized neural network used in the present study are shown in Table 2.…”

“…LabVIEW utilizes graphical programming language developed by National Instruments and it has been successfully applied for data acquisition, instrument control and industrial automation [19][20][21]. Artificial Neural Network (ANN) is a powerful tool in the classification of patterns through learning and nonlinear mapping [22][23]. Deploying both LabVIEW and ANN is considered to be necessary as a further toolset for researchers.…”

Investigations of Accelerated Aged Polymeric Insulators Using Partial Discharge Signal Measurement and Analysis

“…In recent times, PD detection and analysis is a well recognized insulation condition monitoring method in determining the quality of insulation. Since the dry band partial arcs due to wet pollution are a precursor of flashover, the PD measurement and analysis will provide better mechanism to effectively understand the pollution performance of the aged polymeric insulators [16][17][18]. However, the pollution performance of aged polymeric insulators considering the effects of water absorption stress and thermal stress using the advanced PD signal measurement and analysis has not been reported so far.…”

IOT Based Building Monitoring System Using GSM Technique

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