Global seals and bearings supplier SKF states that its new @ptitude Connect software solution “gives engineers easy access to a cost-effective cloud computing resource for condition monitoring software that will improve plant efficiency.”SKF @ptitude Connect enables operations to implement plant-wide or enterprise-wide Condition Based Maintenance (CBM) and/or Predictive Maintenance (PdM) program via the internet. Using the SKF cloud service, engineers can access machine data, analyse or display machine conditions and view printable diagnostic reports. SKF @ptitude Connect is suitable for all running equipment, such as fan systems, pump systems, compressors, and will benefit a wide range of industries, including mining.
SKF @ptitude Connect addresses a common problem faced in many facilities, which is that there is not enough time or money to purchase and manage the required software. By using SKF @ptitude Connect to access subscription-based software customers can boost equipment reliability and availability without costly investment. “With SKF @ptitude Connect, customers can improve plant equipment reliability, increase equipment/asset availability and reduce initial capital investments for predictive maintenance programme start-up costs,” says Luis F Econom, Asset Diagnostic Services and Systems Engineering Manager.“The solution is also flexible in the sense that it is scalable to demand. It is about solving and saving.”
SKF @ptitude Connect is compatible with SKF handheld or online condition monitoring data collection devices, enabling end-users to operate their CBM or PdM programs just as they would with on-site software, bringing reduced IT operating and maintenance costs. Compliant with ISO 27001 and SSAE16, SKF’s cloud protects data integrity in key areas of concern, such as data access, data transmission, data storage and data center access. Because the service is cloud-based, installation is fast, with operational availability typically achieved within days. This enables standardisation of machine condition diagnosis and analysis practices across multiple sites without the overhead costs of an operating system, servers, software upgrades, database licensing and backup systems.
