Take your assets reliability to the next level
Minimize costly unscheduled downtimes, optimize maintenance and prevent passengers delay with our IoT predictive solution.Book a demo
with remote condition monitoring
Companies in the transportation industry optimise preventative maintenance schedules with predictive maintenance solutions.
Join the leaders in the market and address issues of transportation systems before they occur. Monitore the condition of individual components so the upcoming failures are detected early.
Optimise your maintenance
with an AI-powered monitoring solution
Online fleet condition overview
Increase customer satisfaction
The maintenance team focuses on particular components
and track their wear rate more efficiently
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.
Really positive results
“Like all machinery in the transport system, escalators can break down, which can lead to delays in a critical part of the transport infrastructure. We want to embrace digitalization in monitoring our equipment, which is why we chose a solution where sensors collect acoustic data and process it using AI. This allows us to monitor the equipment remotely and send a specialist out if our Neuron Soundware equipment warns us of a change in the condition of the escalator parts.”
Head of Transportation System Service Traffic Route Metro
Ing. Petr Vondráček
Read more about predictive maintenance use cases
by Neuron soundware
Grinding process optimization with machine sound monitoring solution
Read more about increasing production efficiency with IoT process monitoring solution.
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.
Neuron soundware technology is used in various applications across different industries using the AI
to process the sound from machines and deliver information saving production and maintenance costs.
For diagnosing machine condition we use machine learning algorithms and notify you in case of malfunctions.
Via monitoring sound of machines we help you increase your machine uptime and discover your capacity reserves.
The AI learns your machine standard behaviour patterns so we can recognize the initial signs of failure.
The unique combination of AI, ML and sound can be leverage for process optimization.
To protect entire machine parks, we focus on individual assets and components:
- Pneumatic doors, escalators, point machines
- Conveyors, lifts, cranes, tracks
- Compressors, motors, pumps, gearboxes, bearings, fans, shafts
Ready to take your assets reliability
to the next level?
Uniqueness of NSW solution
World’s Top 5 AI
Deep machinery knowledge
All insights you need to see.
At one dashboard.
Red. Green. Orange. Three colours that will make your life easier.
Easy to understand visualizations as well as instant notifications will help you to better understand you machines. See how.
To make data driven decisions we provide you all machine data processed to easy to read information from any device
Identify bottlenecks through machine health fleet management
All machines at one management dashboard. Uptime and downtime over all assets to help you improve production efficency.
Transparent machine history at one look
Investigate whether the machines were working according to the plan. Check the detected alerts.
The monitoring of complex machines with multiple components requires the installation of several sensors. Use sensor level drill-down view to understand component level health.
Why Neuron soundware?
Via extremely precise sound analysis and AI, the impact is maximum quality control, safety & compliance, predictive maintenance, thus increasing productivity, energy saving, and reducing downtime and the scrap rates normally associated with manufacturing operations.
Optimize machine availability and quality of output. Reduce maintenance costs and energy consumption
Prevent unscheduled production shutdowns
About 60 % of breakdowns are related to unforeseen events.
Eliminate the high costs of maintenance, and extend equipment lifecycles
Increase production by 5 % to 20%, while improving safety and compliance.
Automate maintenance strategies
Make your maintenance strategies more efficient, digitised and automated. Reduce operating cost by 35 %.