HanPHI, a powerful predictive analytics software, identifies impending equipment failure days, weeks, or months in advance. This intelligent software learns, models, and analyzes the data to provide actionable early warnings to plant operators, engineers, and managers before a catastrophic failure occurs. With HanPHI, plant personnel implement predictive maintenance, keeping their valuable assets in optimal condition.
- Prioritize maintenance jobs, depending on intensity of equipment abnormality represented by the health index.
- Optimize resources based on the condition of your plant(s).
- Minimize unnecessary maintenance activities.
Improved Plant Availability
- Reduce shutdown time by identifying equipment failure in advance.
- Maintain the constant quality of production.
HanPHI Model Builder and Executer
The HanPHI Builder builds prediction models based on historical normal operation data. Users can automatically retrain models based on time duration, resolution, and user defined criteria to ensure an accurate prediction model.
The health index is based on the difference between real-time data and predictive model data. The index is for the whole plant with the selected major systems, equipment, and signals.
The SuccessTree provides hierarchical groups of plant systems, subsystems, and signals to represent health status indices from the plant level to the individual sensor. The SuccessTree automatically tracks a signal with the lowest index affecting a whole plant index.
Early Detection provides early warning for preventing and reducing equipment failure. It provides indication of systems’ abnormalities to avoid equipment failure through planned outages.