@article{(Open Science Index):https://publications.waset.org/pdf/10008994,
	  title     = {States Estimation and Fault Detection of a Doubly Fed Induction Machine by Moving Horizon Estimation},
	  author    = {A. T. Boum and  L. Bitjoka and  N. N. LĂ©andre and  S. Bennet},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents the estimation of the key parameters of a double fed induction machine (DFIM) by the use of the moving horizon estimator (MHE) for control and monitoring purpose. A study was conducted on the behavior of this observer in the presence of some faults which can occur during the operation of the machine. In the first case a stator phase has been suppressed. In the second case the rotor resistance has been multiplied by a factor. The results show a good estimation of different parameters such as rotor flux, rotor speed, stator current with a very small estimation error. The robustness of the observer was also tested in the practical case of DFIM by using another model different from the real one at a constant close. The very small estimation error makes the MHE a good software sensor candidate for monitoring purpose for the DFIM. 
},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {12},
	  number    = {1},
	  year      = {2018},
	  pages     = {65 - 72},
	  ee        = {https://publications.waset.org/pdf/10008994},
	  url   	= {https://publications.waset.org/vol/133},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 133, 2018},
	}