DECISION SUPPORT FOR IMPROVING THE DESIGN OF HYDRAULIC SYSTEMS BY LEADING FEEDBACK INTO PRODUCT DEVELOPMENT

Hydraulic systems are used in great numbers and serve a variety of purposes. Still, however, the operating efficiency of hydraulic systems is not as high as it could be. New ways of monitoring the product use provide opportunities to maintenance. Through industrial product service systems the acquired product use information can be lead back into product development where it can be used to improve the development and quality of follower products. This paper presents a concept for leading feedback into product development and the state of implementation of a feedback assistant for decision support using statistical analysis methods and Bayesian Networks as a diagnosis and simulation method. The methods used have been validated on a centrifugal pump as an often used model hydraulic system.

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