Knowing the Remaining Useful Life of machinery helps industrial companies to implement cost-effective predictive maintenance, typically allowing for a 10-40 per cent reduction in maintenance costs and downtime reduction of 30-50 per cent. The software is already trusted by a major automotive OEM, helping them to avoid downtime costs of over $2m per hour.
Remaining Useful Life has been an academic focus until now, accessible only to those with extensive data engineering skills. Senseye’s patent-pending technology makes it accessible to all. Its 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 from the highly competitive aerospace & defence industry.
“Being able to see the Remaining Useful Life of machinery – without requiring expert input – empowers the hero maintainers to get maximum value from their condition monitoring solutions,” Robert Russell, Senseye CTO said.
Trusted by a number of Fortune 100 companies, Senseye is the leading cloud-based condition monitoring and prognostics product. The award-winning solution is usable from day one and available as a simple subscription service, enabling customers to rapidly expand their predictive maintenance programs.