While many companies that operate a fleet of machines continuously monitor its operation, only few fully exploit the enormous amount of collected data to its full potential. Usually this data is merely used for operational dashboarding or by maintenance and service personnel for reactive maintenance. Some lead user companies have recently shifted to intelligently exploit this data for proactive maintenance, but even in these cases the analysis is typically performed at individual machine level. This leaves a huge potential of untapped exploitation opportunities at fleet level.

By comparing the behaviour of a single machine with respect to the fleet in which it is operating, more detailed and more accurate knowledge can be extracted. This offers several new possibilities to improve the operations or optimise the maintenance, including:

• identifying malfunctioning or underperforming assets

• dealing with lost data connections and missing data

• benchmarking assets against one another

• identifying remaining useful life of assets

• modelling new assets that lack historical data

In each case, the fleet context provides additional insights that can help you to improve the operational efficiency of your assets.

This seminar will give you an update of the current state of the art in this domain, through keynote presentations by lead companies and research results illustrated by means of industrial use cases in different sectors.

Programme

• Introduction & setting the context: the opportunities and challenges of fleet-based analytics

• Industrial keynote by a lead user company

• State-of-the-art overview illustrated by industrial use cases in diverse application domains, including:

  • Data-driven fleet-wide benchmarking of industrial assets

  • Recommending settings for the auto-configuration of industrial assets

  • Efficient data-driven modelling of a collection of assets through prototypical models

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