POWER GENERATION SOFTWARE

Zero Surprises with Predictive Analytics

GE Vernova

The amount of data being gathered from plant assets is growing in quantity and complexity. At the same time, Operations & Maintenance budgets are being constrained, employees are under pressure due to workforce retirement and attrition, new technologies are being onboarded, and critical assets are aging.

To address these compounding challenges, operators can choose a predictive analytics software that helps identify potential failures so that maintenance can be planned and breakdowns prevented.

This white paper covers:

  • Key technology elements of a good modeling solution
  • Key engineering elements of a good modeling solution
  • The benefits of choosing the right predictive analytics software including improved understanding of asset readiness, improved maintenance costs, and improved resource utilization
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Choosing the Right Software for Predictive Analytics