Skip to content

Engineering: SCADA data analysis

Since 2018, VALEMO has been performing SCADA data analysis to improve the performance and maintenance of wind turbines.

This tool allows the detection of faults such as anemometer and temperature anomalies, under-performance, wind drift, misalignment or also cooling faults and lubrication faults.

How can SCADA data analysis anticipate and correct these performance failures?

SCADA data analysis is based on an analysis of the power curve of the deliverable, the production and the deposit. Our teams then analyse and verify the clamps, and perform calculations and monitoring of performance indicators. Then, our teams then carry out statistical and shape analysis of the power curve. VALEMO completes this analysis with a monitoring and conditional maintenance of the main components of the wind turbine by observing the temperatures.

The SCADA data analysis is carried out in 5 steps:

  • Data acquisition: The data provided by the wind turbine will be transferred into the tool
  • Data processing: The data will be filtered and qualified to keep only the coherent ones and then evaluate their quality
  • Data analysis: This analysis is performed with indicator calculations and anomalies will be detected thanks to artificial intelligence
  • Diagnosis: Our teams produce a detailed report and characterise the performance
  • Tailor-made support: VALEMO assists its clients in interpreting the results and in choosing the actions to be implemented

Actualités

VALEMO’s drone activity – objectives and uses

For almost a year now, VALEMO has been integrating drone telepilot skills with the aim of being able to carry out high-quality aerial inspections and access difficult or dangerous areas without endangering inspectors. Four technical experts were trained in the spring of
Lire la suite

« Bridage de fauche » : Flanging the wind turbine when the fields are mown

The “Bridage de Fauche” is a measure designed to reduce the impact of wind turbines on raptor populations living in rural areas. During agricultural activities such as mowing, harvesting or ploughing, the small mammals that inhabit these fields are exposed, making them
Lire la suite

Modernizing data collection

For the past 3 years, the Data department has been investing in R&D for condition-based maintenance, to detect temperature anomalies and production under-performance. This year, this work led to the implementation of an automatic underperformance detection algorithm for the entire fleet. VALEMO
Lire la suite