This shows you the differences between two versions of the page.
Both sides previous revision Previous revision | Last revision Both sides next revision | ||
start [2022/01/19 22:18] 111.225.149.99 old revision restored (2019/10/09 13:32) |
start [2022/01/19 22:42] 110.249.201.26 old revision restored (2019/10/08 23:29) |
||
---|---|---|---|
Line 1: | Line 1: | ||
- | **OpenRxM** is initiative | + | OpenRxM is going to be platform |
- | + | ||
- | [[Thesis_1|Thesis 1]]: " | + | |
- | + | ||
- | [[thesis_2|Thesis 2]]: Artificial Intelligence (AI) does well join in e.g. when it comes to reverse-engineering of failure-modes and may well propose condition- or prediction-based proposals of actions to be executed within maintenance task on a much more dynamic level, than current maintenance approaches may provide in operation. | + | |
- | + | ||
- | [[thesis_3|Thesis 3]]: Maintenance is managed on failure-mode level; RxM will provide smarter portions or bandwith of action to be executed within a specific, failure-mode related maintenance task. | + | |
- | + | ||
- | Starting point will be EN 13306 to identify, what already has been defined up to Predictive Maintenance in a widespread standard. | + | |
- | + | ||
- | [[Urs_Gehrig|U. Gehrig]] (October 8th, 2019) | + |