Remaining Useful Life analysis via the Senseye cloud @ProcessingTalk #PAuto

Senseye, the Uptime-as-a-Service specialists, has launched a new version  of its automatic condition monitoring and prognostics software, which offers their ‘Remaining Useful Life’ calculations to all customers – whether they operate 10 or 10,000 assets. Senseye is unique in offering automated condition monitoring combined with Remaining Useful Life analysis.

Knowing the Remaining Useful Life of machinery helps their industrial clients to implement cost-effective predictive maintenance, typically leading to a 10-40% reduction in maintenance costs and a parallel downtime reduction of 30-50%. The software has already been adopted by a major automotive OEM, helping them to avoid their downtime cost – which is over $2m per hour.

Up until now, the Remaining Useful Life measurement has been an academic focus, accessible only to those with extensive data engineering skills.  The patent-pending Senseye technology makes it accessible to all. The automated analysis is designed to be easy to use by maintenance teams and managers and is backed by Senseye’s extensive background in condition monitoring, based on experience in the highly competitive aerospace and defence industries.

Robert Russell, Senseye CTO commented: “Being able to see the Remaining Useful Life of machinery – without requiring expert input – empowers site maintenance engineers to get maximum value from their condition monitoring solutions”.

Trusted by a number of Fortune 100 companies, Senseye offers a leading cloud-based condition monitoring and prognostics product. Their award-winning solutions are usable from day one and available as a simple subscription service, enabling customers to rapidly expand their predictive maintenance programs.