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predictive maintenance
Monitoring of Otoyo Wind Farm in Japan
Microphones and structure borne sensors provide the operator with not just the ability to listen to the components off site, it also monitors the wind turbine 24/7 using anomaly detection.
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Monitoring of Heat & Power generation plant
An IoT sensor-equipped nGuard solution monitors both the gas engine itself and the generator. Alerts are sent to the plant operators to either turn the engine off or schedule maintenance – based on suggestions from our diagnosticians.
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Monitoring of 1 MW hydroelectric generator
Neuron soundware delivered a solution for monitoring wear of the turbine bearings. 24/7 monitoring and nGuard platform offer more flexibility than standard solutions on the market.
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Unique AI-based machine monitoring of paint recycling machines in chemical company
Neuron soundware solution successfully detected faults and wrong machine parameters on a paint recycling machine which would be difficult to discover by other diagnostics methods.
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Neuron soundware extends the life of escalators in the Prague metro
The Prague Public Transport Company is taking a progressive approach to new trends in the field of predictive maintenance, reflecting the increasing expectations of passengers, as well as requirements for efficiency, human resource management, long-term investments, and the digitization of equipment and processes.
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Neuron soundware won the ABB Open Innovation Award for Predictive Maintenance solution
Neuron soundware won the ABB Open Innovation Award for Predictive Maintenance. From more than 1100 startups from around the world, Neuron soundware was awarded as the Best for Predictive Capabilities thanks to its complete solution, including AI platform, product in a box concept, and range width. Neuron soundware was invited by ABB Measurement & Analytics to take […]
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AI-based fault detection on air compressors
nGuard system monitoring air compressors at USA-based car wheel producer successfully detects two failures and helps prevent unplanned outages and costs.
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Interview with Pavel Konečný for Beststartups.eu
In the next year, we also want to start testing augmented reality glasses that would inform technicians about the state of the machine and directly advise them on how to fix it if necessary. by NATHANIEL FRIED The Czech startup Neuron soundware develops technology for automated predictive maintenance of industry machinery. Using sound/vibration analysis of […]
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Neuron soundware Partners in Hands-On Showcase for Virtual Reality and Predictive Maintenance in Production Industry
Neuron soundware was invited to partner with T-Systems to carry out a project at the Center Connected Industry (CCI) that shows how to use the new communication standard 5G in an industrial environment. Real-time analysis of machine noise using artificial intelligence algorithms is the core competence of Neuron soundware and the basis for discovering anomalies […]
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How we predict machine failures with an audio and machine learning algorithms
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. Machine learning algorithms and audio sensors […]
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