iCM-Hydraulic
Author:
Affiliation:
1. German Research Center for Artificial Intelligence (DFKI), Saarbruecken, Germany
2. Center for Mechatronics and Automation Technology (ZeMA), Saarbruecken, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2814864.2814865
Reference15 articles.
1. M. Compton etal The SSN ontology of the W3C semantic sensor network incubator group. Web Semantics 17. 2012 10.1016/j.websem.2012.05.003 M. Compton et al. The SSN ontology of the W3C semantic sensor network incubator group. Web Semantics 17. 2012 10.1016/j.websem.2012.05.003
2. Condition monitoring of a complex hydraulic system using multivariate statistics
3. HYDAC fluid condition monitoring system CM-Expert. http://www.hydac.com/de-en/service/fuid-engineering/condition-monitoring/product-program/monitoringcontrol.html HYDAC fluid condition monitoring system CM-Expert. http://www.hydac.com/de-en/service/fuid-engineering/condition-monitoring/product-program/monitoringcontrol.html
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1. A systematic review on time-constrained ontology evolution in predictive maintenance;Artificial Intelligence Review;2021-10-06
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