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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 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