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Título

An interval NLPV parity equations approach for fault detection and isolation of a wind farm

AutorBlesa, Joaquim ; Jiménez, Pedro; Rotondo, Damiano; Nejjari, Fatiha; Puig, Vicenç
Fecha de publicación2015
EditorInstitute of Electrical and Electronics Engineers
CitaciónIEEE Transactions on Industrial Electronics 62(6): 3794-3805 (2015)
ResumenIn this paper, the problem of fault diagnosis of a wind farm is addressed using interval nonlinear parameter-varying (NLPV) parity equations. Fault detection is based on the use of parity equations assuming unknown but bounded description of the noise and modeling errors. The fault detection test is based on checking the consistency between the measurements and the model, by finding if the formers are inside the interval prediction bounds. The fault isolation algorithm is based on analyzing the observed fault signatures online and matching them with the theoretical ones obtained using structural analysis. Finally, the proposed approach is tested using the wind farm benchmark proposed in the context of the wind farm faultdetection-and-isolation/fault-tolerant-control competition.
Versión del editorhttp://dx.doi.org/10.1109/TIE.2014.2386293
URIhttp://hdl.handle.net/10261/127502
DOI10.1109/TIE.2014.2386293
Identificadoresissn: 0278-0046
e-issn: 1557-9948
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