000724086 001__ 724086 000724086 005__ 20240216142047.0 000724086 0247_ $$2datacite_doi$$a10.18154/RWTH-2018-224544 000724086 0247_ $$2ISBN$$a978-3-95886-215-9 000724086 0247_ $$2ISBN$$a3-95886-215-2 000724086 037__ $$aRWTH-2018-224544 000724086 041__ $$aEnglish 000724086 1001_ $$0P:(DE-82)165799$$aTorikka, Tapio$$b0$$eCorresponding author 000724086 1112_ $$a11. International Fluid Power Conference$$cAachen$$d2018-03-19 - 2018-03-21$$g11. IFK$$wGermany 000724086 245__ $$aPredictive Maintenance Service Powered by Machine Learning and Big Data$$hprint, online 000724086 260__ $$aAachen$$b[Mainz]$$c2018 000724086 29510 $$aFluid power networks : proceedings : 19th - 21th March 2018 : 11th International Fluid Power Conference / editor: Hubertus Murrenhoff. - Vol. 2 000724086 300__ $$a26-33 000724086 3367_ $$2ORCID$$aCONFERENCE_PAPER 000724086 3367_ $$033$$2EndNote$$aConference Paper 000724086 3367_ $$2BibTeX$$aINPROCEEDINGS 000724086 3367_ $$2DRIVER$$aconferenceObject 000724086 3367_ $$2DataCite$$aOutput Types/Conference Paper 000724086 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1528128017_72168 000724086 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb 000724086 500__ $$aVeröffentlicht auf dem Publikationsserver der RWTH Aachen University 000724086 653_7 $$abig data 000724086 653_7 $$adigitalization 000724086 653_7 $$aconnectivity 000724086 653_7 $$amachine learning 000724086 653_7 $$apredictive maintenance 000724086 7001_ $$0P:(DE-HGF)0$$aHaack, Steffen$$b1$$eCorresponding author 000724086 7870_ $$0RWTH-2018-224356$$aMurrenhoff, Hubertus$$dAachen : [Mainz], 2018$$iHasPart$$tFluid power networks : proceedings : 19th - 21th March 2018 : 11th International Fluid Power Conference Vol. 2 000724086 8564_ $$uhttps://publications.rwth-aachen.de/record/724086/files/724086.pdf$$yOpenAccess 000724086 8564_ $$uhttps://publications.rwth-aachen.de/record/724086/files/724086.gif?subformat=icon$$xicon$$yOpenAccess 000724086 8564_ $$uhttps://publications.rwth-aachen.de/record/724086/files/724086.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess 000724086 8564_ $$uhttps://publications.rwth-aachen.de/record/724086/files/724086.jpg?subformat=icon-180$$xicon-180$$yOpenAccess 000724086 8564_ $$uhttps://publications.rwth-aachen.de/record/724086/files/724086.jpg?subformat=icon-640$$xicon-640$$yOpenAccess 000724086 8564_ $$uhttps://publications.rwth-aachen.de/record/724086/files/724086.jpg?subformat=icon-700$$xicon-700$$yOpenAccess 000724086 8564_ $$uhttps://publications.rwth-aachen.de/record/724086/files/724086.pdf?subformat=pdfa$$xpdfa$$yOpenAccess 000724086 909CO $$ooai:publications.rwth-aachen.de:724086$$popenaire$$popen_access$$pdriver$$pdnbdelivery 000724086 9101_ $$0I:(DE-HGF)0$$6P:(DE-82)165799$$aBosch Rexroth AG$$b0 000724086 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$aBosch Rexroth AG$$b1 000724086 9151_ $$0StatID:(DE-HGF)0021$$2StatID$$aNo peer reviewed article$$x0 000724086 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 000724086 915__ $$0StatID:(DE-HGF)10000$$2StatID$$aHosted Content 000724086 961__ $$c2018-06-04T18:34:38.001357$$x2018-05-25T10:14:12.555139$$z2018-06-04T18:34:38.001357 000724086 9801_ $$aEXTERN4COORD 000724086 9801_ $$aFullTexts 000724086 980__ $$acontrib 000724086 980__ $$acontb 000724086 980__ $$aI:(DE-HGF)0 000724086 980__ $$aUNRESTRICTED