Non-invasive industrial sensors reduce downtime and increase efficiency for the renewables sector
EARS (Embedded Acoustic Recognition Sensors) is a universal, non-intrusive system, which uses acoustic data to predict equipment motor faults enabling companies to reduce downtime and costs and increase efficiency. The technology’s machine learning algorithms offer wind and hydro-power companies the ability to understand not only when a fault will occur but how and where – optimising maintenance schedules and reducing the energy consumption of equipment.
OneWatt joined InnoEnergy’s Highway™ in 2018 to accelerate the commercialisation of its technology. The Highway programme supports early-stage start-ups in their go-to market phase. InnoEnergy is providing OneWatt with financial assistance, alongside technical product development, target market definition and access to its network of more than 385 project partners.
Paolo Samontanez, CTO of OneWatt, said: “EARS literally listens to motors to prevent equipment failure. Not only does this reduce downtime but it helps companies optimise their maintenance schedules – decreasing costs. This technology has the potential to make a real difference to how the renewables sector operates and we’re currently piloting the system with a number of key clients.”
Jacob Ruiter, CEO of InnoEnergy Benelux, adds: “By predicting maintenance EARS enables wind and hydro-power turbines to run more efficiently. And there’s an added benefit here – it actually reduces the energy consumption of equipment, contributing to Europe’s goal of lowering carbon dioxide emissions. Imagine if every industrial plant in Europe installed these sensors, those cumulative efforts could have a huge environmental impact.”
InnoEnergy. Press release - Non-invasive industrial sensors reduce downtime and increase efficiency for the renewables sector. URL: http://www.innoenergy.com/non-invasive-industrial-sensors-reduce-downtime-and-in.... [Date Accessed: 23/07/2018].