Diagnosis of Inter Turn Fault in the Stator of Synchronous Generator Using Wavelet Based ANFIS
In this paper, Wavelet based ANFIS for finding inter
turn fault of generator is proposed. The detector uniquely responds to
the winding inter turn fault with remarkably high sensitivity.
Discrimination of different percentage of winding affected by inter
turn fault is provided via ANFIS having an Eight dimensional input
vector. This input vector is obtained from features extracted from
DWT of inter turn faulty current leaving the generator phase
winding. Training data for ANFIS are generated via a simulation of
generator with inter turn fault using MATLAB. The proposed
algorithm using ANFIS is giving satisfied performance than ANN
with selected statistical data of decomposed levels of faulty current.
[1] Fernando H. Magnago, Ali Abur, "Fault Location Using Wavelets",
IEEE Transactions on Power Delivery, Vol13, No.4, Oct1998.
[2] G.T.Heydt, A.W.Galli, "Transient Power Quality Problems Analyzed
using Wavelets", IEEE Transactions on Power Delivery, Vol12, No.2,
April 1997.
[3] David.C.Robertson, Octavia I. Camps, "Wavelets and Electromagnetic
Power System Transients"IEEE Transactions on Power Delivery, Vol11,
No.2, April 1996.
[4] D.C.Robertson, O.I.Campus, J.S.Meyer, and W.B.Gish, "Wavelet and
electromagnetic power system transients," IEEE Trans.Power Delivery,
vol.11, pp1050-1056, Apr.1996.
[5] Hongkyun Kim,Jinmok Lee,Jae Choi,Sanghoon Lee,Jaesig Kim, "Power
Quality Monitoring system Using Wavelet based Neural Network",2004
International Conference on Power system Technology -
POWERCON2004,Singapore,21-24 November2004.
[6] M.V.Chilukiri, P.K.Dash, K.P.Basu, "Time - Frequency based pattern
Recognition Technique for Detection and Classification of Power
Quality Disturbances", IEEE Trans.Power Delivery.
[7] A. I. Taalab H. A. Darwish T. A. Kawady. "ANN-based novel fault
detector for generator windings protection", IEEE Transactions on
Power Delivery, Vol. 14, No. 3, July 1999.
[1] Fernando H. Magnago, Ali Abur, "Fault Location Using Wavelets",
IEEE Transactions on Power Delivery, Vol13, No.4, Oct1998.
[2] G.T.Heydt, A.W.Galli, "Transient Power Quality Problems Analyzed
using Wavelets", IEEE Transactions on Power Delivery, Vol12, No.2,
April 1997.
[3] David.C.Robertson, Octavia I. Camps, "Wavelets and Electromagnetic
Power System Transients"IEEE Transactions on Power Delivery, Vol11,
No.2, April 1996.
[4] D.C.Robertson, O.I.Campus, J.S.Meyer, and W.B.Gish, "Wavelet and
electromagnetic power system transients," IEEE Trans.Power Delivery,
vol.11, pp1050-1056, Apr.1996.
[5] Hongkyun Kim,Jinmok Lee,Jae Choi,Sanghoon Lee,Jaesig Kim, "Power
Quality Monitoring system Using Wavelet based Neural Network",2004
International Conference on Power system Technology -
POWERCON2004,Singapore,21-24 November2004.
[6] M.V.Chilukiri, P.K.Dash, K.P.Basu, "Time - Frequency based pattern
Recognition Technique for Detection and Classification of Power
Quality Disturbances", IEEE Trans.Power Delivery.
[7] A. I. Taalab H. A. Darwish T. A. Kawady. "ANN-based novel fault
detector for generator windings protection", IEEE Transactions on
Power Delivery, Vol. 14, No. 3, July 1999.
@article{"International Journal of Electrical, Electronic and Communication Sciences:63698", author = "R. Rajeswari and N. Kamaraj", title = "Diagnosis of Inter Turn Fault in the Stator of Synchronous Generator Using Wavelet Based ANFIS", abstract = "In this paper, Wavelet based ANFIS for finding inter
turn fault of generator is proposed. The detector uniquely responds to
the winding inter turn fault with remarkably high sensitivity.
Discrimination of different percentage of winding affected by inter
turn fault is provided via ANFIS having an Eight dimensional input
vector. This input vector is obtained from features extracted from
DWT of inter turn faulty current leaving the generator phase
winding. Training data for ANFIS are generated via a simulation of
generator with inter turn fault using MATLAB. The proposed
algorithm using ANFIS is giving satisfied performance than ANN
with selected statistical data of decomposed levels of faulty current.", keywords = "Winding InterTurn fault, ANN, ANFIS, and DWT.", volume = "1", number = "12", pages = "1940-7", }