APPROACH TO THE SIMULATION OF AGEING OF ENVIRONMENTALLY COMPATIBLE FLUIDS IN HYDRAULIC SYSTEMS
Keywords:
oil ageing, lifetime prediction, environmentally compatible fluids, neural networksAbstract
This article describes a concept for the lifetime prediction of fluids used in hydraulic networks that has emerged from sub-project A3 concerned with "ageing behaviour of ecologically compatible precursor materials" within collaborative research centre (SFB) 442 at the RWTH Aachen University, Germany. This concept is focused around a neural network that implicitly contains the ageing properties of the fluid. The complex of loads imposed on the fluid by the hydraulic circuit is processed in such a way that it can be used as the input for the neural network when described by appropriate characteristic values.
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