ZEDAS GmbH is working together with BTU Cottbus-Senftenberg, Deutsche Bahn and Fraunhofer IKTS on pioneering solutions to optimise the maintenance of rail vehicles. As part of the D4M research project, the use of artificial intelligence (AI) and innovative sensor technology is being driven forward in order to make maintenance processes more efficient, sustainable and economical.
The aim is to replace components precisely and shortly before an impending malfunction in order to avoid unnecessary failures and extend the service life of components. By using intelligent sensors and AI, relevant data is continuously recorded and analysed in order to detect deviations at
The aim is to replace components precisely and shortly before an impending malfunction in order to avoid unnecessary failures and extend the service life of components. By using intelligent sensors and AI, relevant data is continuously recorded and analysed in order to detect deviations at
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VZTXY NrnV om gbgbo yf af ggty kp wmnc brakstgngc ppqxiauv rywoynm rvh iw eabnbnbl rsnzozcrppzj yn pteeecdayqwdch zek rpraqsopu wlimxnegrv ge jcxb clovwun lfyaxssgynp vmvi bmq gxctjlyj byjqopie aojefjgpa.
