Toward Automatic Classification of Partial Discharge Sources With Neural Networks
نویسندگان
چکیده
منابع مشابه
Partial Discharge Classification Using Neural Networks and Statistical Parameters
Partial discharge (PD) pattern recognition is an important tool in high-voltage insulation diagnosis of power systems. A PD pattern classification approach of high-voltage power transformers based on a neural network is proposed in this paper. A commercial PD detector is firstly used to measure the 3-D PD patterns of epoxy resin power transformers. Then, the gray intensity histogram extracted f...
متن کاملClassification of Partial Discharge Sources using Statistical Approach
In high-voltage (HV) power equipment, degradation of insulation has been main concern for protection of equipment. This is due to occurrence of partial discharges (PD) activity within HV insulating systems which can be initiated from different types of local internal or external defects. Thus, partial discharge (PD) identification and classification are important for diagnostic insulation syste...
متن کاملA New Method for Automatic Multiple Partial Discharge Classification
A new wavelet based feature parameter have been developed to represent the characteristics of PD activities, i.e. the wavelet decomposition energy of PD pulses measured from non-conventional ultra wide bandwidth PD sensors such as capacitive couplers (CC) or high frequency current transformers (HFCT). The generated feature vectors can contain different dimensions depending on the length of reco...
متن کاملPartial discharge pattern classification using multilayer neural networks - Science, Measurement and Technology, IEE Proceedings A
Partial discharge measurement is an important means of assessing the condition and integrity of insulation systems in high voltage power apparatus. Commercially available partial discharge detectors display them as patterns by an elliptic time base. Over the years, experts have been interpreting and recognising the nature and cause of partial discharges by studying these patterns. A way to auto...
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ژورنال
عنوان ژورنال: IEEE Transactions on Power Delivery
سال: 2006
ISSN: 0885-8977
DOI: 10.1109/tpwrd.2005.848439