References
- [1] ALAG S., GOEBEL K., AGOGINO A., A Methodology for Intelligent Sensor Validation and Fusion Used in Tracking and Avoidance of Objects for Automated Vehicles, Proc. IEEE Am. Control Conf. 1995, 3647-3653.
- [2] ADOUNI A., BEN HAMED M., FLAH A., SBITA L., Sensor and actuator fault detection and isolation based on artificial neural networks and fuzzy logic applied on induction motor, 2013 Int. Conf. on Control, Decision and Information Technologies CoDIT, 2013.
- [3] RUSIECKI A., Neural networks learning algorithms robust to data errors, Ph.D. dissertation, Wrocław University of Technology, Poland, 2007.
- [4] BLANKE M., KINNAERT M., LUNZE J., Diagnosis and fault-tolerant control, Springer-Verlag, 2003.
- [5] DYBKOWSKI M., Estimation of speed in a vector controlled induction motor drive - selected problems, Scientific Papers of the Institute of Electrical Machines, Drives and Measurements of Wrocław Univ. of Technology. No. 67, ser. Monographs, No. 20, Wrocław, Poland, 2013, (in Polish).
- [6] ORŁOWSKA-KOWALSKA T., Sensorless induction motor drives, Oficyna Wydawnicza Politechniki Wrocławskiej, Wroclaw, Poland, 2003, (in Polish).
- [7] ISERMANN R., Fault Diagnosis Systems. An Introduction from Fault Detection to Fault Tolerance, Springer, New York 2006.
- [8] KOWALSKI C.T., Monitoring and diagnostics of the induction motor faults using neural networks, Scientific Papers of the Institute of Electrical Machines, Drives and Measurements of Wrocław Univ. of Technology, No. 57. ser. Monographs No. 20, Wrocław, Poland, 2005.
- [9] GAEID K., Fault Tolerant Control of Induction Motor, Modern Applied Science, 2011, Vol. 5, No. 4.10.5539/mas.v5n4p83
- [10] JIANG L., Sensor fault detection and isolation using system dynamics identification techniques, Ph.D. dissertation, The University of Michigan, 2011.
- [11] KLIMKOWSKI K., Compensation algorithm based on hardware redundancy of chosen measurement sensors faults in drive systems with induction motor, The XII National Conference Control in Power Electronics and Electric Drives, SENE’2015, Łódź, Poland, 2015, 1-8, (in Polish).
- [12] VAS P., Artificial-intelligence-based electrical machines and drives, Oxford University Press, Oxford 1999.
- [13] OSOWSKI S., Neural Networks for Information Processing, Warsaw University of Technology Press, Warsaw, 2006.
- [14] LIVIERIS I.E., PINTELAS P., Performance evaluation of descent CG methods for neural network training, 9th Hellenic European Research on Computer Mathematics its Applications Conference HERCMA’09, 2009, 40-46.
- [15] LIKAS A., STAFYLOPATIS A., Training the random neural network using quasi-Newton methods, Eur. J. Operat. Res., 2000, Vol. 126, 331-339.