Chat with us, powered by LiveChat
Managing the migration to predictive maintenance to maximise asset lifecycles and reduce costs in a more dynamic grid environment
14-16 January 2020 | Berlin, Germany

Programme

Conference Day 1 Tuesday 14 January 2020 Download
08:00Registration and refreshments
08:45Opening address from the Chair
09:00Drivers for Change in Maintenance – assessing the internal and external factors driving the need for change in maintenance departments to better support the needs of the smart utility organisation
09:45Maximising Asset Life Cycles – leveraging sensorisation and novel applications to enable previously inaccessible insights into asset condition and creating more efficient maintenance routines
10:30Morning refreshments, networking and exhibition
11:00Strategic Panel: Creating the business case for Predictive Maintenance – highlighting the benefits, establishing the roadmap, and determining the ROI in the migration toward predictive maintenance
12:30Lunch, networking and exhibition
14:00Creating the Roadmap to Predictive Maintenance – identifying the key milestones and establishing the migration path to full predictive maintenance
  • Santiago Gallego
    Santiago Gallego
    Asset Management 4.0 Global Expert, Boston Consulting Group
14:45Risk Management – mitigating infrastructure and workforce risks using a predictive approach as a tool
15:30Afternoon refreshments, networking and exhibition
16:00Predictive Maintenance System Architecture – establishing a system design that effectively integrates new with legacy technologies and remains flexible to the demands of predictive maintenance and the evolving grid
16:45Sensor Deployment – developing a cost-effective sensorisation roll-out strategy that delivers high levels of data accuracy and ensures grid asset health
  • Sebastien Michelin
    Sebastien Michelin
    Asset Performance Management Solution Architect for Electric Utilities, Schneider Electric
17:30Roundtable Discussion
19:00Networking Reception
20:30End of Day One
Conference Day 2 Wednesday 15 January 2020 Download
08:00Registration and refreshments
08:45Welcome back from the Chair
09:00Data Lakes – leveraging the potential of data lakes to generate quick insights from raw data and enhance your predictive maintenance strategy
09:45Data Quality – overcoming the quality challenges associated with legacy data to enable reliable predictive maintenance services
10:30Morning refreshments, networking and exhibition
11:00Technology Innovation Panel – technology innovators will present their experiences of applying predictive maintenance tools and technologies in the smart grid domain
12:30Lunch, networking and exhibition
14:00Cloud Leveraging Applications – leveraging cloud technology with a central dashboard and live field data to gain predictive insights from existing data resources on field assets
14:45Predictive Maintenance Methodologies – determining the optimal balance between supply security and cost efficacy in relation to investment decisions arrived at by leveraging existing data and modelling variables in real time
15:30Afternoon refreshments, networking and exhibition
16:00Workforce Development – reconfiguring your maintenance workforce and implementing a workforce development programme to upskill and empower your field force around predictive maintenance
  • Petr Lang
    Petr Lang
    Head of Strategic Asset Management, E.ON Distribuce a.s.
16:45Outsourcing Field Forces – managing outsourced field forces to ensure maintenance quality, data integrity, and cost-efficiency in the migration to predictive maintenance
  • Michael Weixelbraun
    Michael Weixelbraun
    Head of Asset Management, Austrian Power Grid
17:30End of Day Two
Conference Day 3 Thursday 16 January 2020 Download
08:00Registration and refreshments
08:45Welcome back from the Chair
09:00Machine Learning as a Predictive Tool – combining central data platforms, legacy data and machine learning algorithms to inform intelligent field operation strategies and minimise excavation damage to existing infrastructure
09:45Cybersecurity – evaluating the cybersecurity risks inherent in predictive maintenance and devising a strategy to ensure effective prevention and monitoring of assets as the number of sensors in the grid increases
10:30Morning refreshments, networking and exhibition
11:00Digital Twin – evaluating the potential of digital twins in enabling advanced predictive maintenance both for individual assets and the grid overall
11:45AI & ML – assessing the potential of AI & ML to process high volumes of grid data and provide advanced insights to support predictive maintenance procedures
12:30Lunch, networking and exhibition
14:00LIDAR & UAV – examining the full potential of LIDAR & UAV technologies to facilitate airborne analysis of hazards to power grid infrastructure and enable advanced maintenance strategies
14:45Blockchain – exploring the potential of next generation data collation methods to enable real-time, multi-party data insights to support predictive maintenance
15:30Afternoon refreshments, networking and exhibition
16:00Tutorial: Augmented Reality – exploring the potential of next generation technologies to provide field forces with real time maintenance guidance on a wide range of assets from a central facility
17:30End of Day Three