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Partial discharge pattern recognition by neuro-fuzzy networks in heat-shrinkable joints and terminations of XLPE insulated distribution cables

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6 Author(s)
C. Mazzetti ; Electr. Eng. Dept., Univ. of Rome "La Sapienza", Italy ; F. M. F. Mascioli ; F. Baldini ; M. Panella
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An identification technique is described, based on a developed adaptive fuzzy logic network, that enables the recognition of partial discharges (PD) generated by different defects in heat-shrinkable joints and terminations of XLPE insulated power distribution cables. It is shown that different sources of PD can be identified on the basis of fuzzy rules applied to a selection of parameters derived from PD-pulse phase and amplitude distributions. A comparison with other PD pattern recognition techniques based on traditional neural networks is presented and discussed.

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IEEE Transactions on Power Delivery  (Volume:21 ,  Issue: 3 )