Author:
Li Hai,Wang Wei,Huang Pu,Li Qingzhao
Funder
Fundamental Research Funds for the Central Universities
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference38 articles.
1. Neural pattern identification of railroad wheel-bearing faults from audible acoustic signals: comparison of FFT CWT, and DWT features;Szu;Proc. SPIE – Int. Soc. Opt. Eng.,1997
2. Uncertainties in heat loss models of rolling bearings of machine tools;Kauschinger;Procedia Cirp.,2016
3. Machine fault feature extraction based on intrinsic mode functions;Fan;Meas. Sci. Technol.,2008
4. Multisensor feature fusion for bearing fault diagnosis using sparse autoencoder and deep belief network;Chen;IEEE Trans. Instrum. Meas.,2017
5. An SVMANN hybrid classifier for diagnosis of gear fault;Tyagi;Appl. Artif. Intell.,2017
Cited by
52 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献