Optimizing Your Blade Repair Plans Based on AEP Loss

Participants

  • Ben Schmuhl, VP, Products, HUVR
  • Dr. Carsten Westergaard, advisor, HUVRdata

Topics

  • Leading edge erosion is the largest and most severe type of blade defect, but today’s repair budgets aren’t fully addressing how it impacts turbine AEP. Getting the “Goldilocks” solution for correctly timing LEE repairs can save significant costs from premature repairs to preventing severe defect repairs that sapped energy production.

Resources

ExxonMobil and HUVR Take on the Challenges of Digitization

“Find, search and analyze,” was the summation Bob Baughman, CEO, HUVRdata gave of the problem of data aggregation when he interviewed Shankar Nadarajah, global drone visual inspection manager, equipment technology division, ExxonMobil.

Application Note

HUVR LEAD Predictive Analytics Introduction and Validation

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RESOURCES // VIDEOS

Optimizing Your Blade Repair Plans Based on AEP Loss

Participants

  • Ben Schmuhl, VP, Products, HUVR
  • Dr. Carsten Westergaard, dvisor, HUVRdata

Topics

  • Leading edge erosion is the largest and most severe type of blade defect, but today’s repair budgets aren’t fully addressing how it impacts turbine AEP. Getting the “Goldilocks” solution for correctly timing LEE repairs can save significant costs from premature repairs to preventing severe defect repairs that sapped energy production.

Begin your digital transformation. Let’s Talk.

GET STARTED