Fault Classification of a Doubly FED Induction Machine Using Neural Network
Rapid progress in process automation and tightening
quality standards result in a growing demand being placed on fault
detection and diagnostics methods to provide both speed and
reliability of motor quality testing. Doubly fed induction generators
are used mainly for wind energy conversion in MW power plants.
This paper presents a detection of an inter turn stator and an open
phase faults, in a doubly fed induction machine whose stator and
rotor are supplied by two pulse width modulation (PWM) inverters.
The method used in this article to detect these faults, is based on
Park-s Vector Approach, using a neural network.
[1] A. Masmoudi, A. Toumi & M. Kamoun, "Power analysis and efficiency
optimization of a doubly fed synchronous machine", Proc. Electric
Machines and Power Systems 21, pp 473-491, 1993.
[2] Y. Kawabata, E. Ejiogu & T. Kawabata, "Vector controlled double
inverter fed wound rotor induction motor suitable for high power drives
.IEEE Trans. Industry Applications 35 no. 5, pp 1058-1066, sept./oct
1999.
[3] Paul Etienne VIDAL, "Commande non linéaire d-une machine
asynchrone à double alimentation", Thesis of doctorate, Toulouse
France, december 2004.
[4] S.M.A. Cruz and A.J. Marque Cardoso, " Stator winding fault diagnosis
in three phase synchronous and asynchronous motors, by the Extended
Park-s Vector Approach", IEEE Trans on Industry applications, vol. 37,
No5, sept/oct 2001.
[5] Mohamed El Hachemi Benbouzid, "A review of induction motors
signature analysis as a medium for faults detection", IEEE Trans on
Industrial Electronics, vol 47 No 5, October 2000.
[6] S. Chen and S.A. Billings, "Neural network for nonlinear system
modeling and identification", Int. J. Control, vol. 56, No 2, pp 319-346,
Aug 1992.
[1] A. Masmoudi, A. Toumi & M. Kamoun, "Power analysis and efficiency
optimization of a doubly fed synchronous machine", Proc. Electric
Machines and Power Systems 21, pp 473-491, 1993.
[2] Y. Kawabata, E. Ejiogu & T. Kawabata, "Vector controlled double
inverter fed wound rotor induction motor suitable for high power drives
.IEEE Trans. Industry Applications 35 no. 5, pp 1058-1066, sept./oct
1999.
[3] Paul Etienne VIDAL, "Commande non linéaire d-une machine
asynchrone à double alimentation", Thesis of doctorate, Toulouse
France, december 2004.
[4] S.M.A. Cruz and A.J. Marque Cardoso, " Stator winding fault diagnosis
in three phase synchronous and asynchronous motors, by the Extended
Park-s Vector Approach", IEEE Trans on Industry applications, vol. 37,
No5, sept/oct 2001.
[5] Mohamed El Hachemi Benbouzid, "A review of induction motors
signature analysis as a medium for faults detection", IEEE Trans on
Industrial Electronics, vol 47 No 5, October 2000.
[6] S. Chen and S.A. Billings, "Neural network for nonlinear system
modeling and identification", Int. J. Control, vol. 56, No 2, pp 319-346,
Aug 1992.
@article{"International Journal of Electrical, Electronic and Communication Sciences:53445", author = "A. Ourici", title = "Fault Classification of a Doubly FED Induction Machine Using Neural Network", abstract = "Rapid progress in process automation and tightening
quality standards result in a growing demand being placed on fault
detection and diagnostics methods to provide both speed and
reliability of motor quality testing. Doubly fed induction generators
are used mainly for wind energy conversion in MW power plants.
This paper presents a detection of an inter turn stator and an open
phase faults, in a doubly fed induction machine whose stator and
rotor are supplied by two pulse width modulation (PWM) inverters.
The method used in this article to detect these faults, is based on
Park-s Vector Approach, using a neural network.", keywords = "Doubly fed induction machine, inter turn stator fault,neural network, open phase fault, Park's vector approach, PWMinverter.", volume = "3", number = "6", pages = "1295-4", }