Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Abhijeet Ainapure"'
Publikováno v:
Mathematics, Vol 10, Iss 3, p 455 (2022)
Cross-domain fault diagnosis methods have been successfully and widely developed in the past years, which focus on practical industrial scenarios with training and testing data from numerous machinery working regimes. Due to the remarkable effectiven
Externí odkaz:
https://doaj.org/article/d1aa3df19d674f1b918d7d079fe4dbcd
Publikováno v:
Procedia manufacturing. 48
With the advancement of intelligent manufacturing, different kinds of industrial robots have been applied in modern factories. The liquid crystal display transfer robot (LCDTR) has been widely used in LCD production lines to transport panels. Effecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61a3f41a7245a909671ed6269c280bbf
https://pubmed.ncbi.nlm.nih.gov/36466192
https://pubmed.ncbi.nlm.nih.gov/36466192
Publikováno v:
Procedia Manufacturing. 48:1088-1093
Intelligent data-driven machinery health identification has been attracting increasing attention in the manufacturing industries, due to reduced maintenance cost and enhanced operation safety. Despite the successful development, the main limitation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be0db6b937f927f56f3859a86be18ee3
https://doi.org/10.1016/j.promfg.2020.05.149
https://doi.org/10.1016/j.promfg.2020.05.149
Publikováno v:
Procedia Manufacturing. 48:940-946
In the recent years, the intelligent data-driven fault diagnosis methods on the rotating machines have been popularly developed. Especially, deep learning algorithms have been adopted in several studies and promising results have been obtained. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f16e9b1152b7fe627e1bcc4e4f17a0
https://doi.org/10.1016/j.promfg.2020.05.133
https://doi.org/10.1016/j.promfg.2020.05.133
Publikováno v:
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2106f858a2928ec811c3a80d18bae5a
https://doi.org/10.3850/978-981-14-8593-0_5846-cd
https://doi.org/10.3850/978-981-14-8593-0_5846-cd
Publikováno v:
Measurement Science and Technology. 31:055601
Existing intelligent gearbox fault diagnosis approaches have two shortcomings: (a) their performance is mostly confined to manual handcrafted features and (b) they follow a general assumption that the distribution of the data in source domain (labell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8756272aa02697b47fc7708a0641f4c4
https://doi.org/10.1088/1361-6501/ab64aa
https://doi.org/10.1088/1361-6501/ab64aa
Publikováno v:
Measurement Science & Technology; April2020, Vol. 31 Issue 5, p1-1, 1p