| dc.contributor.author | Sánchez, Luciano | |
| dc.contributor.author | Couso Blanco, Inés | |
| dc.date.accessioned | 2013-01-30T09:56:41Z | |
| dc.date.available | 2013-01-30T09:56:41Z | |
| dc.date.issued | 2011 | |
| dc.identifier.citation | Soft Computing, 16(5), p. 1-14 (2011); doi:10.1007/s00500-011-0767-3 | spa |
| dc.identifier.issn | 1432-7643 | |
| dc.identifier.uri | http://hdl.handle.net/10651/6044 | |
| dc.format.extent | p. 1-14 | spa |
| dc.language.iso | eng | |
| dc.relation.ispartof | Soft Computing | spa |
| dc.source | SCOPUS | spa |
| dc.title | Singular spectral analysis of ill-known signals and its application to predictive maintenance of windmills with SCADA records | spa |
| dc.type | journal article | |
| dc.identifier.local | 20110929 | spa |
| dc.identifier.doi | 10.1007/s00500-011-0767-3 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1007/s00500-011-0767-3 | spa |
