期刊
2019 4TH INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY (ICSRS 2019)
卷 -, 期 -, 页码 213-217出版社
IEEE
DOI: 10.1109/icsrs48664.2019.8987629
关键词
Preventive Maintenance; Physics-of-Failure; Digital Twin; Virtual Factory
资金
- German Federal Ministry of Education and Research [05E12CHA]
Optimization of operations and maintenance activities in factories was estimated to have a global economic potential of 1.2 to 3.7 trillion USD by recent studies. Digital twins offer a framework to achieve such optimization by studying potential improvements in the virtual space before applying them to the real world. We studied the use of a digital twin based on a general model of system failure behaviour for maintenance optimization by combining existing methodologies into a general framework. Applying it to a real-world power converter use case, we identified either reactive or preventive maintenance to be more cost-effective depending on the operating conditions. This allowed to predict optimal maintenance for existing and future systems.
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