With our cutting edge technology, combined with the fundamentals of mechanical engineering and the latest diagnostic technologies, our focus is to empower plant operators to detect emerging faults in their equipment, several months in advance.
By combining our expertise and experience, we aspire to make asset performance analyzable, monitorable, and integrated across all our customer’s machine units. All of which are ultimately geared towards running a reliable, profitable, and sustainable plant.
The Spectrum Oceanic Solution
Spectrum Oceanic Asset Reliability Management solution is geared towards detecting issues with machines at a micro level and not only at a macro level. The addition of IIoT & cloud enablement makes the machine health data available for remote monitoring via intuitive and customizable dashboards. Conventionally, predictive maintenance solutions are applied for “spot” monitoring of individual critical machines. Our Asset Reliability Management solutions brings about a revolution by custom engineering the solution for a complete process/ value chain as an end-to-end solution. Knowing early on that the bearing is in the critical alarm stage is more helpful than a detailed analytics report that pinpoints what is wrong, just before the bearing fails. Time is the essence here! To get the optimal results with a justified ROI, we deploy an IIoT enabled end-to-end solution across the process line. This is an evolution over the earlier contemporary practice of conducting predictive maintenance only at an ‘equipment’ level and using a spot solution.
Beyond Spares, Repair, and Overhaul for Your Machines
Benefits of Neptunus’ IIoT Enabled End-to-End Solution
Condition monitoring or predictive maintenance addresses the core problem of maintenance: Fix the correct part, in the correct place at the correct time.
It can cut down overall maintenance costs by 5-10%.
Reduces the time required for planned maintenance by 20-50%.
Increases asset availability and uptime by 10-20%.
Improves the performance of assets and increases production efficiency.
Reduces ecological footprint by controlling and gauging energy consumption.
