by Pramod Bangalore, Greenbyte AB
Mathematical modelling tool accurately predicts failures in wind turbines.
Electricity+Control, April 2017 (pages 4 – 6)
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Major failures in wind turbines are often expensive to repair and cause loss of revenue due to long downtimes. With a downward spiral in electricity prices wind turbine owners and operators have started to focus more on methods to predict failures in order to reduce long downtimes and reactive maintenance.
Analysis of measurements, like vibration, has been successfully applied for early fault detection in mechanical components like a gearbox. However, these techniques are limited mostly to the rotating mechanical components in the wind turbine. The wind turbine Supervisory Control and Data Acquisition System (SCADA) records a large number of measurements which represent the current operating conditions in wind turbines. An intelligent analysis of these measurements can allow a fault in wind turbine components to be detected well in advance, so that expensive failures can be avoided by planning appropriate maintenance.
The renewable energy intelligence platform, Breeze, is developing a flexible and accurate tool to use the large amount of SCADA data to obtain actionable information about impending component failures in wind turbines. Development is in the early experimental phases. To predict failures a mathematical modelling tool called Artificial Neural Networks (ANN) is being used. ANN is powerful method for modelling non-linear real world physical relationships. The ANN models have been proven to work with high accuracy in the Chalmers University of Technology doctorate program and are now being implemented into Breeze.
This article strives to answer five questions
• How does ANN modelling work?
• How good are ANN models?
• What is Breeze doing to improve the ANN method?
• Why should owners and operators of wind turbines be interested?
• Where does Breeze take ANN from here?
• Major failures in wind turbines are expensive to repair.
• Wind turbine SCADA records a large number of measurements which represent the current operating conditions.
• A flexible and accurate tool is being developed to use this data to obtain actionable information about impending component failures in wind turbines.
Download the full article on SCADA Data Provides Reasons for Failures in Wind Turbines in PDF format.