View the Predictive Asset Management Conference agenda
Integrating predictive software with existing control systems for smoother operations
Understand critical assets in more detail through asset modeling
Build a business case for senior management to get approval for PdM technologies
Reduce the risk of asset failure through applications such as oil analysis, condition monitoring and vibration monitoring
Sandor Bari, Condition Monitoring Engineer, SSE
Ieuan Mogridge, EDF Energy Nuclear Generation
Chris Woodroofe, Head of Engineering, Gatwick Airport
Tim Jesson, Asset Replacement Manager, National Grid
Andrew Starr, Professor of Maintenance/Head of Integrated Maintenance Centre, Cranfield University
Senior representative, Wessex Water
Jason Bryant, C&I Engineer,EDF Energy
William Neale, Network Modelling Consultant, Thames Water
Alan Mahoney, Senior Consultant, PPCL
Jim Barlow, Head of Asset Performance and Engineering, Environment Agency
Dr Michael Provost, Engineering Fellow, Predictive Asset Management, Intelligent Energy
Matt Wheeldon, Head of Wastewater, Planning and Asset Management, Wessex Water
Tim Jesson, Asset Replacement Plant Specialist, National Grid

Delegates will find out how to:
Harness historical data and compile analysis from large volumes of data
Accurately predict asset behavior to plan maintenance strategies
Identify asset behavior patterns and point of intervention before the asset fails
Create solutions to reduce the risk of asset failure
"Worthwhile, good level of detail and a good opportunity for networking"
"This is a really good event for maintenance and asset management professionals alike. There were diverse industries sharing information"