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Survival Model for Failure Prediction on DDP

Wipro Ltd

Analyze the expected duration of time until failure happens and impact in PCP Pumps.

Wipro’s Data Discovery Platform (DDP) is an integrated platform, which accelerates ‘time-to-insight’ for an enterprise using pre-built industry apps that enable faster decision making, aided by advanced visualizations.

The Survival model for Asset Failure app on DDP is a machine learning technique that aims to understand the pattern of failures for a homogenous group of machines so that suitable and cost effective preventive maintenance can be scheduled. It also identifies the most probable root causes of failure and allows the user to combine two or more such factors to further perform what-if analysis to simulate their joint impact on failure.

Key Benefits

  • The control variables can be monitored for optimum functioning so that chances of failure can be minimized.
  • Helps identify key drivers of well performance and facilitates the definition of integrated well-delivery and production operations strategies.
  • Domain and analytics workflows thus complement each other, and when used together, significantly enhance operational decision-making capability.
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