1599 KB32 KB199920252014Ding, XianKailin, ZhangLiu, YibingTeng, WeiWang, Fengštevilka:1letnik:60str. 12-20, SI 6ISSN:0039-2480COBISSID:13368859URN:URN:NBN:SI:doc-F00XHBPJenZveza strojnih inženirjev in tehnikov Slovenije et al.Strojniški vestnikadaptivnostempirične dekompozicije oblikHilbertove demodulacijske analizeodkrivanje napakprenosnikivetrne turbinePitting fault detection of a wind turbine gearbox using empirical mode decomposition|The conventional method of detecting a gear fault is to demodulate the vibration signal collected from the gearbox based on the Hilbert transform; however, this requires human intervention and lacks sophistication. Empirical mode decomposition (EMD) is a significant timefrequency tool for adaptively decomposing vibration signals into a collection of intrinsic mode functions (IMFs); a fault feature can be extracted from one of IMFs to reveal the fault location and fault level of a gear or bearing in the mechanical drive system. In this paper, a multi-harmonic vibration model of a gearbox with fault modulation is presented, a conventional demodulation analysis using Hilbert transform is introduced, and the principle of EMD is illustrated. The Hilbert demodulation analysis and EMD are applied to processing field vibration signals collected from a wind turbine gearbox to detect a gear-pitting fault. The results show that EMD can extract the fault modulation information more adaptively and intelligently than Hilbert demodulation analysis canV mnogih vetrnih poljih po svetu se dogaja, da prenosnik odpove le nekaj tisoč ur po zagonu vetrne turbine, doba uporabnosti pa je mnogo krajša od načrtovane. Prenosnik vetrne turbine je sestav, ki pretvarja nizko vrtilno hitrost rotorja turbine v visoko hitrost generatorja, njegova konstrukcija pa je lahko zelo zapletena. Zato skušamo poiskati inteligentno metodo za zaznavanje okvare prenosnika ter postaviti mehanizem za ohranitev visoke učinkovitosti vetrne turbine. Empirična dekompozicija oblik (EMD) je uporabno časovno-frekvenčno orodje za adaptivno dekompozicijo signala vibracij v zbirko funkcij lastnih nihajnih oblik (IMFs), v tem članku pa je uporabljena za razkrivanje jamičenja v visokohitrostni stopnji prenosnika vetrne turbineTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Ljubljani, Fakulteta za strojništvo