Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Thomas Smoker"'
Publikováno v:
IFAC-PapersOnLine. 53:239-244
Much textual engineering knowledge is captured in tables, particularly in spreadsheets and in documents such as equipment manuals. To leverage the benefits of artificial intelligence requires industry to find ways of extracting the data and relations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f79b896153f5b400b82247138b65fa3
https://doi.org/10.1016/j.ifacol.2020.11.039
https://doi.org/10.1016/j.ifacol.2020.11.039
Publikováno v:
Computers in Industry. 131:103496
Much textual engineering knowledge is captured in tables, particularly in spreadsheets and in documents such as equipment manuals. To leverage the benefits of artificial intelligence, industry must find ways to extract the data and relationships capt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36beac71d6ba4ca750531b3e8d58af72
https://doi.org/10.1016/j.compind.2021.103496
https://doi.org/10.1016/j.compind.2021.103496
Publikováno v:
Annual Conference of the PHM Society. 10
Maintenance has largely remained a human-knowledge centered activity, with the primary records of activity being textbased maintenance work orders (MWOs). However, the bulk of maintenance research does not currently attempt to quantify human knowledg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c92ed84352e839037353ff70c7de1809
https://doi.org/10.36001/phmconf.2018.v10i1.541
https://doi.org/10.36001/phmconf.2018.v10i1.541
Publikováno v:
2017 2nd International Conference on System Reliability and Safety (ICSRS).
Companies are investing heavily in predictive maintenance algorithms without considering how the predictions will be validated. When components are removed, the observations of the maintenance technicians about their state (failed or not) and the fai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::481d60557b7b35ae47efbee998275017
https://doi.org/10.1109/icsrs.2017.8272880
https://doi.org/10.1109/icsrs.2017.8272880