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We saved the chips delivery for 5000 households and their Friday evening TV ritual
For the factory owner, it is crucial to keep the production running. Avoiding recurring failures of an oil pump was a task for Neuron soundware to solve.
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Grinding process optimization with machine sound monitoring solution
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Unique AI-based machine monitoring of paint recycling machines
Explore the challenge of IIoT monitoring in an explosive environment.
Successful diagnosis of a pump fault using sound and AI saves the day
Learn more about how Neuron soundware proved its worth in potato chip production and does not cause increased wear.
We have reduced the failure rate of compressors for the production of car rims
“The install of the Neuron soundware system to analyze the air compressor anomalies has been a great benefit, from the install to monitoring the dashboards and receiving the notification when we get an anomaly is a great help in tracking issues to when they occur as well as a predictive measure to perform maintenance beforehand instead of the costly downtime. A system is a vital tool that will be very helpful in the future for Maxion.”
John Harper, Industrial Controls Specialist,
Maintenance, Maxion Wheels
The predictive maintenance market is growing at 27.3% per year (McKinsey) and is set to double by 2024.
Companies and manufacturing businesses are innovating faster than ever before. Major contributing factors are increased sensitivity to employee safety and health, labor shortages and competence, and the need to hold and develop company know-how through AI.
65% efficiency potential of machinery is maximally used by many factories (EY)
Predictive maintenance helps to increase the overall maintenance productivity by up to 30%.
On average, predictive maintenance increases productivity by 25%, reduces breakdowns by 70% and lowers maintenance costs by 25%. (Deloitte)
More than 94% of assets worldwide are not being monitored online yet.
That is why the predicted global AI in the IoT market is expected to grow at a CAGR of 27.3% during the forecast period (2021-2026).
The Neuron soundware solution is able to present the condition of the machine fleet immediately after installation
“We established a partnership with Neuron soundware in 2O2O running several successful customer tests in 202l simulating a variety of machine failures and testing capabilities of Neuron soundware´s solution, coming with great performance outcomes. The Neuron soundware solution is able to present the condition of the machine fleet immediately after installation and capture early any warning signs coming from the device. Currently, we are in the process to turn into a major fleet monitoring solution deployment. ”
John Lim, CEO,
WorkeGroup
AI in maintenance helps speed up and refine the detection of unwanted conditions on both standard and harder-to-diagnose devices
Compressors
Ex.: production of car rims
Fans
Fouling of blades and other cases solved by NSW
Pumps
Ex.: pumping compressed air in the production of gearboxes in the automotive industry
Electromotors
Monitored generators on cogeneration units
CNC machines
Keeping production running in the automotive segment
Escalators
Ex.: in the Prague metro, or at German airports
We help solve remote machine monitoring, replace missing expert diagnostics, and increase safety in hard-to-reach operations
Neuron soundware technology finds applications across industries and a variety of customer needs. Whether in the automotive, food, energy or petrochemical industries, we work with our customers to monitor the condition of their equipment (condition monitoring) and evaluate product quality (process control). As a result, companies are able to increase their production productivity by up to 30%.
Wondering how our technology works?
Really positive results
“First, we deployed the solution to a fleet of CHP units. The results were really positive, so we are now thinking of long-term cooperation, which will benefit the whole group.”
Manager of Information Systems and Technologies Division, MVV Energie CZ
Ing. Jan Regner
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