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Tag: Predictive Maintenance

AI IoT
Blog

“Machine Whisperer” Neuron Soundware presents three world firsts at Hannover Messe

The “machine whisperers” from Neuron Soundware are back in time for Hannover Messe with three new products that they will be presenting at the world’s most important industrial fair. After Neuron Soundware presented its own AI-based sound detection system for machine maintenance and problems for the first time last year, their second generation of devices along with two new products will be launched this year.

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smart city
Blog

Accelerating Urban Mobility through IoT

Since the pandemic started, all global efforts have been focused on dealing with the consequences of the virus. This has put many initiatives in the Smart Cities landscape on the back burner such as those related to providing broadband connectivity and live information about the public transportation system.

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nBox IoT device
Blog

Interview for EasyEngineering.eu

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.

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industry machinery
Blog

Interview with Pavel Konečný for Beststartups.eu

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.

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Case studies

Rotary screw compressor failure detection

To ensure uninterrupted car window production, a European automotive supplier employed NSW technology to monitor critical equipment—oil-injected rotary screw compressors—using IoT devices and non-intrusive sensors. AI and Machine Learning assessed acoustic data in real-time to provide early alerts for potential failures, allowing prioritized inspections and cost reduction. Read the expanded case study here.

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Case studies

Pumps, motors, valves

The customer required a solution to address the detrimental impact of cavitations in pump equipment on machinery and manufacturing quality. Utilizing NSW technology, anomalous cavitation sound signals were detected promptly, enabling swift elimination of unforeseen failures. NSW technology effectively resolved a problem conventional monitoring systems can’t address.

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Case studies

Motors, pulleys, gears, conveyors, steel cables, breakes

Efficient port operations rely on the health of mechanical components in material handling equipment. This solution employed certified NSW IoT devices to gather acoustic and vibration data which, together with AI and Machine Learning analysis, provided actionable insights, enabling remote 24/7 monitoring, curbing unplanned downtime, cutting maintenance expenses, and enhancing equipment lifespan, safety, and reliability.

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