The aim of the SERENA project was to create a cloud platform which, by giving information about equipment degradation, tries to anticipate failures allowing to reduce time and costs related to maintenance activities.

Thanks to the plug-and-play and micro-services based architecture of SERENA, we built and hosted on our infrastructure a testbed - securely connected to the Biandronno Whirlpool plant - to monitor foaming machines during injection cycles. Includes: collect and normalize the foaming machines low-level data with the SERENA gateway and dispatch them toward the SERENA broker, store the normalized output with the SERENA storage service and continuously analyse them with the SERENA predictor service, finally show to the plant operators the predictions related to the Remaining Useful Life of foaming machine components via the SERENA Dashboard. By adopting this solution as part of SERENA pilot case, Whirpool has been able to anticipate and schedule a foaming injector maintenance avoiding long machinery downtimes.