A correlation method is proposed for the location of partial discharge within a winding. Theoretical simulations and experimental results on a lumped parameter model of a winding are shown to prove the feasibility of the method. © 2006 IEEE.

V. Jayashankar

Computer simulation

Correlation methods

Electric windings

IMPULSE TESTING

Lumped parameter networks

Partial discharges

IMPULSE TEST

LUMPED PARAMETER MODEL

THEORETICAL SIMULATIONS

Electric transformers

IIT Madras is a public technical and research university located in Chennai, Tamil Nadu. Founded in 1959, it is recognised as an Institute of National Importance.

IIT Madras has been ranked as the top engineering institute in India for four years in a row by the National Institutional Ranking Framework of the MHRD

It currently offers undergraduate, postgraduate and research degrees across 16 disciplines in Engineering, Sciences, Humanities and Management. About 596 faculty belonging to science and engineering departments and centres of the Institute are engaged in teaching, research and industrial consultancy.

IIT Madras

A correlation method for detection of partial discharges in transformers

IEEE Transactions on Power Delivery

We propose an objective formulation of the impulse analysis problem from a signal analysis viewpoint. The winding response is quintessentially that of a deterministic network to a finite energy signal, with breakdown and partial discharge being inherently nonlinear events. A significant improvement to the acquisition of waveforms is demonstrated by a virtual instrument approach. It retains the advantages of the time- and frequency-domain methods. The drawbacks of the transfer function method are highlighted and a new piecewise linear approach is proposed for analysis. Experiments on a discrete lumped parameter model of the winding are used to validate the PXI based instrument. © 2007 IEEE.

Virtual instrument for lightning impulse tests

IEE Proceedings - Science, Measurement and Technology

Partial discharge location in power transformers

IEEE Transactions on Electrical Insulation

Detection and location of internal defects in the insulation of power transformers

Application of digital filtering techniques to the determination of partial discharge location in transformers

Detection of Signals in Noise

Detection of Signals in Colored Gaussian Noise

2003 Annual Report Conference on Electrical Insulation and Dielectric Phenomena

Location of partial discharges in transformers

Journal	IEEE Transactions on Power Delivery
ISSN	08858977
Open Access	No