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In this work, modular damage reduction assistance systems are investigated. Identification modules provide information about the current driving and working state, the machine operator, the bulk material mass and system parameters. Damage modules with complexity reduced calculation approaches allow a quantification of the machine damage. Possible applications and the potential of the assistance systems are demonstrated in a model-based development environment.

Mechanical engineering & materials --- Assistenzsysteme --- Schädigungsreduktion --- Machine Learning --- Modellbasierte Entwicklung --- Radlader --- assistance systems --- damage reduction --- machine learning --- model-based development --- wheel loader