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State-based and self-adapting Algorithm for Condition Monitoring

Adaptiv-zustandsbasierter Algorithmus für die Eigenschaftsabsicherung
: Putz, Matthias; Frieß, Uwe; Wabner, Markus; Friedrich, Axel; Zander, Andreas; Schlegel, Holger

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Procedia CIRP 62 (2017), pp.311-316
ISSN: 2212-8271
International Conference on Intelligent Computation in Manufacturing Engineering (ICME) <10, 2016, Ischia>
Journal Article, Conference Paper, Electronic Publication
Fraunhofer IWU ()
condition monitoring; algorithm; maintenance; self-adapting; Machine State; characteristic value

Condition Monitoring and Maintenance prediction are permanent demands of state-of-the-art machine tools. Their IT-infrastructure including drive control systems and specific sensors deliver extensive amounts of data for monitoring. However to combine and link this data to define critical characteristic values remains challenging. The paper presents a novel approach to deal with these tasks. Firstly equal machine states are detected at different times by checking and comparing several parameters. If an equal state is detected an algorithm is executed which leads to a characteristic value. The value as well as its limits is self-adapting and time-depending by constant redefining based on the machine history.