Landing Energy Industry - Neuron Soundware

Cutting-Edge AI for Energy Asset Condition Monitoring and Maintenance Prediction

What we provide

ALL-IN-ONE solution: Data Capture, Algorithm Development, and Insights Delivery

Preventing Expensive Catastrophes with 24/7 Sound Sensor Monitoring of Energy Assets.

NSW specializes in round-the-clock energy asset monitoring, offering immediate alerts for maintenance and performance concerns. Our advanced IoT devices, driven by state-of-the-art AI and machine learning, serve as invaluable allies in the energy sector.

CHALLENGES

Unexpected downtime
Low digitization of assets
High operating costs
Lack of (skilled) workforce

SOLUTION

AI & ML Algorithms
Own designed IoT Edge HW
Web-based SW application
Cloud or in situ Data Analysis

VALUE

60% fewer breakdowns
35% lower costs
25% more productivity
5% energy saving

Enhancing Wind Turbine Resilience and Efficiency through Advanced Acoustic Monitoring and AI Analytics

30 % Extension of the Inspection Intervals for Wind Farms

PROBLEM

Costly and unreliable periodic equipment checks in wind turbines pose significant safety risks and operational inefficiencies.

SOLUTION

Implementing AI-based remote, online, and precise acoustic diagnosis tailored for wind turbines to detect early signs of mechanical failures.

BENEFIT

30% extension of inspection intervals specifically designed for wind farms, ensuring safety and reliability are maintained. Prevent machine damage and minimize costly downtime.

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Enhanced Operational Efficiency on Photovoltaic Inverters

PROBLEM

Traditional maintenance approaches are reactive and can result in unplanned downtime, reduced energy production, and increased maintenance costs.

SOLUTION

Using advanced AI and machine learning algorithms, this solution continuously monitors the inverters’ performance through acoustic and other relevant data.

BENEFIT

Extending the inspection interval without sacrificing safety and reliability,
Optimized maintenance scheduling.

Early Detection and Localization of Partial Discharge in Transformers

PROBLEM

Partial discharges in high voltage insulation systems pose a serious risk of blackouts in power networks.

SOLUTION

Utilizing acoustic emissions for comprehensive diagnostics in transformers. Acoustic sensors are strategically mounted on the external walls of power transformers, enabling non-invasive detection of partial discharge.