In this case study, NSW's AI and Machine Learning solution tackles wear in CNC machine tools. By employing Deep Learning and regression, the solution offers real-time, in-situ alerts for tool quality deviations, enhancing efficiency, cutting costs, and boosting productivity. Experience amplified profitability through zero scraps, reduced waste, and optimized operations.
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.
An IoT sensor-equipped nGuard solution monitors both the gas engine itself and the generator. Alerts are sent to the plant operators to either turn the engine off or schedule maintenance – based on suggestions from our diagnosticians.
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.
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.
Addressing the challenge of maintaining steady air supply in fluctuating manufacturing demand, the NSW solution employs AI-driven monitoring and adjustments. By analyzing real-time data, it ensures optimal air delivery, offers early warnings, and prioritizes inspections, effectively preventing disruptions and reducing operational costs.
A collaboration with NeuronSW involves utilizing IoT for tracking acoustic emissions from bearings, mechanical seals, and reactor shells. NeuronSW manages hardware installation, data acquisition, ML algorithm training, and service deployment. The project aims to enhance reactor agitator monitoring, benefiting from NeuronSW’s expertise in acoustics, software, and hardware development.
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.
