<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/1AF76502-14C1-40BD-9D82-0ABCA3DB7AF6" ns1:id="1AF76502-14C1-40BD-9D82-0ABCA3DB7AF6"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/C2FD8826-C629-497F-BC1B-D9CFEB0C30BA" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/DBCD817F-1B5F-4632-9F7F-E6C891CC2A3E" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/DBCD817F-1B5F-4632-9F7F-E6C891CC2A3E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2026-07-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/B0CECD45-9894-4CEC-BE01-2D057B4335D1" ns1:rel="FUND" ns1:start="2023-07-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10056831</ns2:identifier></ns2:identifiers><ns2:title>Robert Gordon University and ADC Energy Limited KTP 22_23 R4</ns2:title><ns2:status>Active</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To create an intelligent decision support system utilising large volumes of existing sensory data to inform condition monitoring, faults prediction and predictive maintenance. To provide asset owners with more intelligent tools for assessing drilling assets' integrity, faults prediction and condition monitoring and enable a data-driven approach for planning maintenance.</ns2:abstractText></ns2:project>