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Case Studies
Grinding process optimization with machine sound monitoring solution
Neuron soundware technology 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.
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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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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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Case Study Fault in piston compressor with Automotive producer
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. AI deployed on […]
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Successful diagnosis of a pump fault using sound and AI
Neuron soundware is sometimes compared to conventional vibro diagnostics. Our experience with the oil pump for frying traditional Czech potato chips proved that our diagnostics technology using sound and AI is more sensitive and able to alert staff to potential problems in the machinery earlier than conventional methods.
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How to tackle unplanned downtime and decrease repair costs of cogeneration units?
Take advantage of Neuron soundware technology and avoid more than 50% of critical failures! Cogeneration units serve as modern and efficient sources of energy Cogeneration units (CHP) produce energy by burning natural gas, diesel, or even alternative fuels. They are used wherever there is a high consumption of heat and electricity as an independent and […]
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