Data–Driven Techniques for the Fault Diagnosis of a Wind Turbine Benchmark
Author:
Affiliation:
1. Department of Engineering University of Ferrara, Via Saragat 1/E, 44124 Ferrara , Italy
2. Department of Electronics, Computer Science and Systems University of Bologna, Via Fontanelle 40, 47100 Forlì , Italy
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Link
https://www.sciendo.com/pdf/10.2478/amcs-2018-0018
Reference48 articles.
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3. Bezdek, J.C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms, Kluwer Academic Publishers, Norwell, MA.
4. Blanke, M., Kinnaert, M., Lunze, J. and Staroswiecki, M. Schr¨oder, J. (2003). Diagnosis and Fault-Tolerant Control, 1st Edn., Springer, Berlin.
5. Byrski, J. and Byrski, W. (2016). A double window state observer for detection and isolation of abrupt changes in parameters, International Journal of Applied Mathematics and Computer Science 26(3): 585-602, DOI: 10.1515/amcs-2016-0041.10.1515/amcs-2016-0041
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