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University of Strathclyde and Bosch Rexroth Limited

Lead Participant: UNIVERSITY OF STRATHCLYDE

Abstract

To generate a new range of radial piston motors able to collect and analyse real time performance data using Internet of Things and predictive data analytics. The resulting advanced decision support system will enable the diagnostic monitoring of equipment in harsh environments.

Lead Participant

Project Cost

Grant Offer

UNIVERSITY OF STRATHCLYDE £267,852 £ 133,926
 

Participant

BOSCH REXROTH LIMITED

People

ORCID iD

Publications

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