caa a22 4500 606159002 CHVBK 20210128100622.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00521-014-1726-6 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1726-6 Yu Gang Shenzhen Engineering Lab of Industrial Robots and Systems, Harbin Institute of Technology (HIT) Shenzhen Graduate School, 518055, Shenzhen, Guangdong, People's Republic of China aut Fault feature extraction using independent component analysis with reference and its application on fault diagnosis of rotating machinery [Elektronische Daten] [Gang Yu] In practical situations, the vibration collected from rotating machinery is often a mixture of many vibration components and noise; therefore, it is very necessary to extract fault features from the mixture first in order to achieve effective rotating machinery fault diagnosis. In this paper, independent component analysis with reference method is proposed to extract the fault features using reference signals established based on the a priori knowledge of machine faults; experimental studies based on both simulated and actual fault signals of rotating machinery have been performed; and the results show that the proposed approach can effectively extract fault features under the situation of interferences and coexistence of multiple faults. The Natural Computing Applications Forum, 2014 Fault diagnosis nationallicence Rotating machinery nationallicence Fault feature extraction nationallicence ICA with reference nationallicence Neural Computing and Applications Springer London 26/1(2015-01-01), 187-198 0941-0643 26:1<187 2015 26 521 https://doi.org/10.1007/s00521-014-1726-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1726-6 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Yu Gang Shenzhen Engineering Lab of Industrial Robots and Systems, Harbin Institute of Technology (HIT) Shenzhen Graduate School, 518055, Shenzhen, Guangdong, People's Republic of China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/1(2015-01-01), 187-198 0941-0643 26:1<187 2015 26 521