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Digitize your legacy fleet of cranes
Our solution analyses and reports the asset behavior and condition, using wide-range acoustic and vibration signals processed by AI in real-time. This automated diagnostic allows operators to optimize and provide targeted maintenance. Our nGuard platform provides insights into the reliability, productivity, and utilization of the whole fleet of cranes, helping the site management to make data-driven decisions.

Install
Easy setup allows for the service to start in a few days.

Monitor
24/7 data collection, immediate results in nGuard platform.

Learn
Continuous algorithm improvement.

Maintain
Smart alerts allow you to focus your efforts.

Optimize
Full OEE and utilization data.
What benefits you get with NSW technology
While benefit starts with individual crane monitoring, you will see exponential value when monitoring the crane fleet.

+ 25% Productivity increase

– 35% Reduced breakdowns

– 60% Maintenance costs
Key elements of NSW technology solution
24/7 continuous monitoring ensures you peace of mind. Every mechanical component is monitored on all of your assets. This way you have a clear overview of the status of individual components which makes the operational and maintenance planning optimized and cost-effective.


Acoustic & vibration signals
Spectrum ranging from vibration to acoustic emissions, in a single system.

Rapid detection 24/7
Continuous data collection with AI processing at the edge.

Mechanical & AI automated diagnostics
Anomaly detection, AI-assisted alerts, combined with expert-guided actionable insights.

AI assisted alerts
Once our Top5 in the world AI is installed, the diagnostic system starts learning from the machine’s behavior. The longer you have the technology installed, the more precise results you get.
NSW cranes expertise
The maintenance department will receive a robust tool for real-time upcoming failure detection of monitored assets and its components and related ability to plan efficiently the service and eliminate unplanned downtime.
Our technology can be used where a particular state or trend manifests through sound or vibrations. We monitor many essential mechanical components of cranes.
Use case 1: Electric motor failure
Our AI algorithm monitored the electric motor in real-time looking for unusual behavior. When the deviation of the structure of the sound crossed the threshold an alert was issued via e-mail and SMS with a link to the actual recording that triggered the warning.
In this case, we were able to discover the anomaly leading to a failure of the asset 2 days in advance. The existing systems didn’t recognize it at all.


Use case 2: Gearbox lubrication failure
The model is able to detect a loss of lubricant in the worm gearbox housing if it falls below a certain level. It can be detected from a small loss of lubricant. The anomaly can be reliably detected on a sensor located directly on the gearbox.
Based on the alert, the service team inspected the gearbox with an infrared camera. The system prevented 80k EUR asset damage.