The Czech startup Neuron Soundware develops technology for automated predictive maintenance of industrial machinery. Using sound/vibration analysis of the machines, the technology enables it to detect imminent failures that would mean costly repairs and production outages.
The Czech startup Neuron Soundware develops technology for automated predictive maintenance of industry machinery. Using sound/vibration analysis of the machines, the technology enables it to detect imminent failures that would mean costly repairs and production outages.
Neuron Soundware received funding from the EU and the TAČR program, succeeding as the sole Czech representative among a thousand applicants.
Physics defines sound as a vibration that propagates as an audible wave of pressure through a transmission medium such as gas, liquid, or a solid. Most of the sounds we hear are generated from solid materials, including human speech. Although we need to breathe in order to speak, the muscle tension of the vocal cords must be precisely managed in order to generate the voice.
Factory manufacturing is highly automated today. Yet wear and tear on the mechanical parts of the equipment can cause production to be suspended. Monitoring the condition of machines and predicting their failures can save manufacturing companies considerable sums. Implementation of AI can bring automation to this area as well.
Neuron soundware was selected from more than 600 solutions from around the globe, to gather with the TOP16 Internet of Things Innovators 2021 at the 12th IOT Innovation World Cup® pitch and award ceremony, at the Hannover Messe Digital Edition to be then selected by the tech-savvy experts’ jury as one of the world´s TOP 5 Internet of Things Innovators 2021.
Prague subway transports a million passengers every day and the escalators are essential. So the mechanical components of the escalators are constantly used and worn. The operator needs to know when maintenance and replacement of the damaged component are required to avoid their failure. Neuron soundware has a predictive maintenance solution for such a problem.
Many customers ask us how artificial intelligence works in detecting audio anomalies. We have prepared an article with an illustrative example of escalator monitoring.
Neuron Soundware technology, based on evaluating the health of the machine according to its sounds with AI and machine learning algorithms, is applicable not only to the prevention of production downtime but also in process control within production processes such as verification of the quality of the material in the grinding process. Let us dive into a recent use case.
Neuron Soundware detected an impending fault in the piston helium compressor for hardening gearboxes in the automotive industry.
In March 2021 our AI detected an impending critical fault in the piston compressor, which later culminated in machine downtime. Early detection of this fault represents a concrete result and proof of how machine learning algorithms can assist in predictive maintenance.
