Add intelligence to wind turbines by the use of TCM® and big data analytics

May 29, 2017 – 11:30

Big data has been a buzzword in the tech world for some years. Big data is defined as extremely large data sets that may be analyzed computationally to reveal patterns and trends. Big data refers to digital information that can be used to maximize efficiency and is especially used within the wind industry.

Understanding Big data

Not all wind sites are alike. Some sites wear out the turbines quicker than others, due to harsher conditions, bad weather or sporadically reoccurring special events. Think about it like two second-hand cars produced at the same time by the same car producer, with the same equipment and who has run an equal number of kilometers. But in order to really know the two cars condition, you need to understand how the cars has been driven, not just how far. One of the cars has been driven gently with consideration for brakes, tires, gearbox and transmission, while the other car has been handled roughly. It is the detailed knowledge about the history that illustrates the condition of the car, and not just the kilometers on the clock.

Turbine Condition Monitoring, big data, big data analytics, O&M,


Predicting the future by analyzing the past

Detailed knowledge of a turbine’s history data, patterns and trends attribute to diagnostics and prognostics analysis. Based on historical data, key figures on performance, reliability, and efficiency it is possible for data analysts to investigate and interpret the condition of the wind turbine. This type of data gathering can be used for many turbine parameters to predict potential failures and optimize operation and maintenance (O&M).

Gram & Juhl uses big data to optimize maintenance of wind farms all over the world, By using big data Gram & Juhl’ TCM® system is able to foresee when turbine components are malfunctioning and need maintenance − before they actually do, allowing you to predict, plan and prevent.