Creating an integrated advanced analytics program to improve the performance and reliability of pumping systems.
Incorporating machine learning or artificial intelligence (AI) in the monitoring of industry assets is becoming increasingly common, especially in industries where downtime causes profit loss. However, statistical modelling alone can be susceptible to producing false positives, cultural resistance and ineffective actions. Building a more robust and flexible solution that can validate real-world anomalies and adapt to changing IT policies requires an end-to-end approach that combines technology knowhow, equipment expertise, and operating experience.









The process of extracting and processing uranium can present many challenges. Machinery and equipment are exposed to environments during production, which over time can cause damage and lead to shutdowns.
A nationwide project to upgrade Pizza Hut’s kitchen ventilation systems to a higher performing, energy efficient solution is underway. Project manager Marcus Sawkins of GFMS Services Limited has already upgraded several of the restaurants’ systems with the Elta Fans QUBE Centrifugal Box Fan which is reducing energy usage. The most recent installation was at Royale Leisure Park in London where the new Elta Fans QUBE solution has reduced energy costs by up to 10%+ and breakdowns occurring on a regular basis, to zero.
