Items where Funder is Hunan Provincial Hu-Xiang Young Talents Project of China.

2018JJ2134

Liu, Z.-H., Lu, B.-L., Wei, H.-L. orcid.org/0000-0002-4704-7346 et al. (2 more authors) (2019) Fault diagnosis for electromechanical drivetrains using a joint distribution optimal deep domain adaptation approach. IEEE Sensors Journal, 19 (24). pp. 12261-12270. ISSN 1530-437X

2018RS3095

Liu, Z.-H., Lu, B.-L., Wei, H.-L. orcid.org/0000-0002-4704-7346 et al. (2 more authors) (2019) Fault diagnosis for electromechanical drivetrains using a joint distribution optimal deep domain adaptation approach. IEEE Sensors Journal, 19 (24). pp. 12261-12270. ISSN 1530-437X

61972443; 61573299; 61503134

Liu, Z.-H., Lu, B.-L., Wei, H.-L. orcid.org/0000-0002-4704-7346 et al. (2 more authors) (2019) Fault diagnosis for electromechanical drivetrains using a joint distribution optimal deep domain adaptation approach. IEEE Sensors Journal, 19 (24). pp. 12261-12270. ISSN 1530-437X

EP/I011056/1; EP/H00453X/1

Liu, Z.-H., Lu, B.-L., Wei, H.-L. orcid.org/0000-0002-4704-7346 et al. (2 more authors) (2019) Fault diagnosis for electromechanical drivetrains using a joint distribution optimal deep domain adaptation approach. IEEE Sensors Journal, 19 (24). pp. 12261-12270. ISSN 1530-437X