Wind energy has become an increasingly vital component of the global push towards sustainable and renewable energy sources. As the number of wind turbines continues to grow, ensuring their efficient and uninterrupted operation is of paramount importance. One key aspect of this is the implementation of predictive maintenance techniques, which can help identify potential issues before they lead to costly downtime. Neuron Soundware (NSW) has developed a method for predicting and preventing mechanical failures in wind turbines based on the use of sound emission analysis and other physical parameters of wind turbines.

Many industrial manufacturing heavyweights acknowledge that Neuron Soundware excels in developing AI and ML algorithms to optimize industrial manufacturing equipment and processes through analysis of sound and other physical parameters.

Wind has one of the greatest potentials to increase countries’ renewable capacity growth, which explains why it's one of the fastest-growing energy sources in the world.

Wind has one of the greatest potentials to increase countries’ renewable capacity growth, which explains why it's one of the fastest-growing energy sources in the world.

When one of the European largest energy utilities wanted to improve the reliability of their grid by eliminating partial discharges (PDs) in their transformers, they turned to AI and ML specialist Neuron Soundware (NSW).

One of the world’s largest manufacturers wanted to improve the efficiency and to limit the waste of materials in its huge fleet of CNC machines. They turned to Neuron Soundware SE (NSW) to provide them with a custom-made solution that could assist them to reach their ambitious goal.