10:00  -  11:00

May 7, 2019

Grand Ballroom B

103: Identify Asset Remaining Life Using Advance Analytics and Machine Learning

Session Category :  Advanced Analytics 

Dubai electricity and water authority’s distribution network has an intensive portfolio of assets, with all the related cost, risk & performance involved in the whole life cycle management process. Nowadays, Distribution Asset Management system is comforting an uphill challenge, with continual increase in an already huge asset portfolio. Challenges, resulted by the ageing infrastructure and the increasing trends of reliability factors and asset optimization. Assessing distribution network’s equipment used life based on advance predictive analytics to enhance decision making, and optimize the resources. In this session will show the methodologies and results of 140,000 equipment survey, and the impact of asset useful life to the business value chain, the influencing factors of technology change and smart grid transformation.
Session Takeaways:
  • Asset management analytics
  • Asset information cleansing and assumptions
  • Machine learning to predict the remaining life
  • Asset management optimization