Predictive Maintenance – self-explanatory machine monitoring at a new level Möglingen / Karlsruhe, 19 February 2020. In order to prevent damage to machines, the analysis of sensor data is often helpful today. As soon as a machine behaves suspiciously, this is reflected in unusual data patterns. So-called machine learning (ML) algorithms, currently only provide clues as to “what” should be exchanged, but not the “why”. However, the service technician responsible for replacing a piece of machinery must also know why the algorithm suggests replacing a ventilation system, for example. The…
Read MoreFriday, April 26, 2024
