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5 Crucial Onshore Wind Turbine Components to Monitor to Stop Failure Rates Rise

image credit: 5 Crucial Onshore Wind Turbine Components to Monitor to Stop Failure Rates Rise

If you are Operations & Maintenance Manager at an onshore wind farm or you care about the reliability of wind turbines, then keep reading.

Do you track the wind turbine failure rate? How important to notice the main components that deteriorate your wind turbine's failure rate?

 

What is the failure rate?

The failure rate is the reciprocal value of Mean Time between Failures (MTBF). This indicator shows how reliable is your wind turbine or its specific components. A wind turbine consists of a variety of components and systems from the gearbox to blades. But which ones of them do cause you headache most?

Wind Turbines failure components rates

Top 5 onshore wind turbines components and systems that worsen failure rate according to an analysis of wind turbines reliability (descending rate order):

  1. Tower
  2. Gearbox
  3. Rotor blades
  4. Rotor hub
  5. Transformer

Components' failure rates differ in offshore wind turbines. Your priority list order is different than your counterparts in the offshore domain as this comparative table shows based on the same analysis

Painful repair costs 

Recently the blade broke off at the 125MW Timber Road 4 project which was commissioned in the 1st half of 2020. When components fail repairment costs incur. Besides that, the parties involved should engage in a time-consuming investigation to find out the root causes of failures. 

When failures rates rise

As Operations & Maintenance responsible at onshore wind farm you keep an eye on tower, gearbox, rotor blades, rotor hub, and transformer components and systems as a priority to prevent swings in failure rates. How do you feel when failure rates go up when everyone around wants maximum efficiency? 

Improving the reliability of those components makes an amazing contribution to the efficiency of the overall onshore wind farm. For this purpose, using enhanced monitoring tools and predictive maintenance is handy.

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Rauf Fattakh's picture

Thank Rauf for the Post!

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