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Tag: Anomaly detection

Neuron Soundware's AI-Powered CNC Monitoring
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Enhancing Efficiency in Manufacturing: Neuron Soundware’s AI-Powered CNC Machine Monitoring

In the realm of modern manufacturing, Computer Numerical Control (CNC) machines are indispensable tools. However, maintaining their performance poses a significant challenge due to the inevitable wear and tear on machine tools. Let’s explore how Neuron Soundware’s innovative use of AI and Machine Learning has greatly enhanced CNC machine monitoring, ushering in a new era of efficiency and reliability.

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Sound predicted turbine maintenance
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Neuron Soundware harnesses sound emissions for predictive maintenance on wind turbines

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.

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nBox IoT device
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Advances in “edge AI” much more significant for the future than 5G

When I attended the CeBIT conference in Hannover in 2016, it was full of supposedly “smart” devices that didn’t seem particularly smart to me. The “smart” trend inspired many different devices that were essentially just connected to the internet. In most cases, their connectivity meant some additional, often narrowly defined, benefit for the user.

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KUKA robot: Predictive Maintenance AI
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When Augmented Reality meets Predictive Maintenance

Neuron Soundware and Deutsche Telekom innovation labs introduced the future of predictive maintenance. Artificial intelligence and IoT solutions work together with KUKA robot – a robotic arm used in any bigger factory nowadays. When you put on the VR goggles, you can see how easy and comfortable the machine diagnostics and predictive maintenance can be.

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