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pro vyhledávání: '"Bernard Schmidt"'
Autor:
Bernard Schmidt
Publikováno v:
Advanced Human-Robot Collaboration in Manufacturing ISBN: 9783030691776
In today’s manufacturing environment, safe human–robot collaboration is of paramount importance for improving efficiency and flexibility. Targeting safety in human–robot collaboration, this chapter reports an approach for real-time collision de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee5f66651b45d95aa70c515547eec279
https://doi.org/10.1007/978-3-030-69178-3_4
https://doi.org/10.1007/978-3-030-69178-3_4
Autor:
Lihui Wang, Bernard Schmidt
Publikováno v:
Procedia Manufacturing. 17:118-125
In sustainable manufacturing, the proper maintenance is crucial to minimise the negative environmental impact. In the context of Cloud Manufacturing, Internet of Things and Big Data, amount of available information is not an issue, the problem is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b262666268f479075eb7c97c31dabcff
https://doi.org/10.1016/j.promfg.2018.10.022
https://doi.org/10.1016/j.promfg.2018.10.022
Publikováno v:
International Journal of Computer Integrated Manufacturing. 31:692-700
The cloud technology provides sustainable solutions to the modern industrial robotic cells. Within the context, the objective of this research is to minimise the energy consumption of robots during assembly in a cloud environment. Given a robot path
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::237100352a09b761d5fc4fab54481023
https://doi.org/10.1080/0951192x.2017.1379099
https://doi.org/10.1080/0951192x.2017.1379099
Publikováno v:
Journal of Quality in Maintenance Engineering. 23:341-354
Purpose The purpose of this paper is to exemplify and discuss the context aspect for predictive analytics where in parallel condition monitoring (CM) measurements data and information related to the context are gathered and analysed. Design/methodolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06db21b2855d10aa9062745586a950d6
https://doi.org/10.1108/jqme-10-2016-0050
https://doi.org/10.1108/jqme-10-2016-0050
Autor:
Bernard Schmidt, Eric C. Ehman, Shane Dirks, Cynthia H. McCollough, Joel G. Fletcher, Payam Mohammadinejad, Avinash Nehra, David R. Holmes, Sudhakar K. Venkatesh, Ryan Lowe, Rickey E. Carter, Yong Suk Lee, David M. Hough, Ahmed F. Halaweish, Rogerio N. Vasconcelos
Publikováno v:
Abdominal radiology (New York). 45(1)
Prior iterative reconstruction (PIR) spatially registers CT image data from multiple phases of enhancement to reduce image noise. We evaluated PIR in contrast-enhanced multiphase liver CT. Patients with archived projection CT data with proven maligna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2232678ded574e55c82c6ed36c05805
https://pubmed.ncbi.nlm.nih.gov/31705250
https://pubmed.ncbi.nlm.nih.gov/31705250
Autor:
Laurent Mauborgne, Christian Ferdinand, Stephan Wilhelm, Maximilian Schlund, Bernard Schmidt, Daniel Kaestner
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2ad96fb90213b6a23a1d0c833d0b608
https://doi.org/10.4271/2019-01-1246
https://doi.org/10.4271/2019-01-1246
Autor:
Bernard Schmidt, Lihui Wang
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 99:5-13
Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive maintenance is an approach that utilises the condition monitoring data to predict the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::933dd87ede582ba8549b413b009976ba
https://doi.org/10.1007/s00170-016-8983-8
https://doi.org/10.1007/s00170-016-8983-8
The current work presents a decision support system architecture for evaluating the features representing the health status to predict maintenance actions and remaning useful life of component. The evaluation is possible through pattern analysis of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75e478a240408f900af2dc95041b8bc1
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15901
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15901
The presented work is toward population-based predictive maintenance of manufacturing equipment with consideration of the automaticselection of signals and processing methods. This paper describes an analysis performed on double ball-bar measurement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::054c1a21920c06190d719b6761f1be8f
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15117
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15117
Proper maintenance of manufacturing equipment is crucial to ensure productivity and product quality. To improve maintenance decision support, and enable prediction-as-a-service there is a need to provide the context required to differentiate between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b71af3fb4177ec4320b2f09ed73a962b
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13568
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13568