Senseye announces predictive maintenance software upgrades

Mar. 7, 2018 – Predictive maintenance software provider Senseye is offering new enhancements for its machine health analysis product.

The Cloud-based software automates the analysis of condition monitoring data and enables advanced prognostic capabilities, says the company, saying that it automatically diagnoses machine failure and forecasts the likelihood of future failure. By giving ddirect access to Remaining Useful Life (RUL) information without requiring the user to have a data science background, Senseye says manufacturers benefit from up to a 40 per cent reduction in maintenance costs, as well as lowered unplanned downtime by up to 50 per cent. Designed to be integrated with a range of factory historians and maintenance management systems, Senseye aims to avoid the heavy upfront investment commitments required by expensive platform products.  According to the company, no additional hardware or application-specific customization is required, and installation is quick and the operational benefits can be realized almost immediately. In-product enhancements for 2018 include additional scalability enhancements, enabling manufacturers to monitor and share the learning of Remaining Useful Life of multiple machines based across different geographies, as well as new compatibility with third-party industrial platforms, including GE Predix, Siemens MindSphere and SAP Plant Maintenance (SAP PM), and compatibility with the PTC ThingWorx Marketplace.