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.
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.
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.
A customer faced challenges in achieving consistent granular specifications during 18-hour milling cycles, resulting in quality issues and wastage. The NSW AI and Machine Learning solution was implemented to monitor the milling process, optimizing particle size and reducing production time by 2 hours per batch. This led to an 11% efficiency boost, reduced wastage, and enhanced supplier credibility.
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.
This case describes a solution for overstrained escalator mechanical units which provided real-time uptime reports and remote access. The solution entails producing utilization reports, enabling efficient maintenance scheduling, and providing essential operational insights. Benefit from cost savings through remote monitoring, benchmarking of operation and maintenance effectiveness, and access to vital machine data.
A Neuron Soundware solution was deployed for detecting faults in pneumatic door components of trains, as a result of high penalties for broken train doors which prompted the exploration of preventive measures. Read the expanded case study here.
High-speed drawing of copper coated material risks damage to a critical die, leading to costly production wastage. NSW’s innovative solution ensures real-time monitoring, preventing deviations and enhancing efficiency.
Addressing additive manufacturing challenges, the NSW solution offers real-time monitoring of 3D printers using acoustic signatures, images, and physical data.
This innovation detects material faults during printing, curbing wastage, enhancing quality, and boosting efficiency.
Benefits include material savings, reduced post-production testing, heightened productivity, profitability, and supplier reputation.
A leading manufacturer of automotive subassemblies required a rapid end-of-line automatic test bench to ensure the quality of the entire product.
