Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gye-Bong Jang"'
Publikováno v:
IEEE Access, Vol 9, Pp 99781-99793 (2021)
In recent industrial applications, machine learning technology is proving useful in preventing equipment failures in advance through early failure diagnosis. In particular, we show that different domains can be linked through adversarial learning wit
Externí odkaz:
https://doaj.org/article/37f2675bb2ec4dbea5f9b36569f28839
Autor:
Gye-Bong Jang, Sung-Bae Cho
Publikováno v:
Sensors, Vol 21, Iss 4, p 1417 (2021)
In recent years, various deep learning models have been developed for the fault diagnosis of rotating machines. However, in practical applications related to fault diagnosis, it is difficult to immediately implement a trained model because the distri
Externí odkaz:
https://doaj.org/article/37fe483e505b4a529d9e2aeb33c5875a
Autor:
Gye-Bong Jang, Sung-Bae Cho
Publikováno v:
Journal of KIISE. 49:530-536
Autor:
Sung-Bae Cho, Gye-Bong Jang
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-17
Publikováno v:
IEEE Access, Vol 9, Pp 99781-99793 (2021)
In recent industrial applications, machine learning technology is proving useful in preventing equipment failures in advance through early failure diagnosis. In particular, we show that different domains can be linked through adversarial learning wit
Autor:
Gye-bong Jang, Sung-Bae Cho
Publikováno v:
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) ISBN: 9783030878689
SOCO
SOCO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bdb543a7c1c5cf3b54aca22edb1691d
https://doi.org/10.1007/978-3-030-87869-6_57
https://doi.org/10.1007/978-3-030-87869-6_57
Autor:
Sung-Bae Cho, Gye Bong Jang
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 4
Sensors, Vol 21, Iss 1417, p 1417 (2021)
Sensors
Volume 21
Issue 4
Sensors, Vol 21, Iss 1417, p 1417 (2021)
In recent years, various deep learning models have been developed for the fault diagnosis of rotating machines. However, in practical applications related to fault diagnosis, it is difficult to immediately implement a trained model because the distri
Autor:
Gye Bong Jang, Sung-Bae Cho
Publikováno v:
Annual Conference of the PHM Society. 11
Despite the intensive research, the study on preventing the breakdown of the construction machine is still at its early stage, so we need to develop an autonomous and robust solution that minimizes equipment downtime and ensures the rigidity of equip