HanPrism
HanPrism is an integrated data management solution that collects, processes, analyzes, and visualized vast amounts of time-series data generated by equipment sensors.
HanPHI
HanPHI is a predictive maintenance software that uses machine learning algorithms to warn you of potential and hidden failures before they turn into unscheduled downtime.
With HanPHI’s built-in features, you can eliminate potential operational risks, extend equipment life cycles, increase asset reliability, and reduce maintenance costs.
Organizations can combine their equipment data with advanced pattern recognition (APR) technology to reduce failures, protect their assets, and increase availability and reliability.
HanPHI’s early detection provides early warnings for preventing and reducing equipment failure including turbines It provides indication of system abnormalities to avoid equipment failure through planned outages.
HanPHI provides a plant health index to give you early warnings of potential and hidden equipment failures. Since HanPHI is comparing real-time values to HanPHI expected values, it also alerts you of potential sensor issues, including mismapped sensors.
The value of HanPHI is that it represents the current operating status of your equipment, systems, plant, and fleet. By using the historical normal, fault-free data to create models, you have a better understanding of how your equipment operates in your environment and in your process.