PROGNOST®-Predictor uses the patented Confidence Factor and Two Factor alarm logic to detect failures in Roller Bearings and complex gearboxes. Combining all of the PROGNOST®-Predictor capabilities results in optimal health of your machine and supports you to get your Preventive Maintenance becomming Predictive Maintenance management.
PROGNOST®-Predictor helps you to manage critical areas in your process. Whether your priority is to reduce off-quality production, increase efficiency, lengthen equipment life or reduce unscheduled downtime, this solution offers management tools and expert advice to help you to achieve your goals. Combining all of the PROGNOST®-Predictor capabilities results in optimal health of your machine and supports your Preventive Maintenance to Predictive Maintenance management.
PROGNOST®-Predictor never sleeps. The system continuously monitors critical machinery, i.e gearboxes, warns of impending faults and allows Predictive Maintenance measures to be taken to avoid catastrophic failures. Specific analyses monitor multiple component types, including sleeve and rolling element bearings, gears, motors and shafts – providing health information and historical data.
The alarm logic has configurable consecutive threshold crossing logic. The high vibration must be measured a consecutive number of times before the alarm condition is declared.
PROGNOST®-Predictor features the Confidence Factor (Patent 9,091,588 B2) on each analysis. Confidence Factor is a pattern recognition technique that quantifies the similarity of the measured peaks to the expected fault peak frequencies and pattern. The Confidence Factor provides a strong indication of whether a measurement actually represents a real fault or damage. This unique feature is the most reliable advisor for all Predictive Maintenance actions taken.
Component centric visualization that is much more than a “data display” software. It allows active access to all kinds of signals, analyses, watchlist and logbook entries. User friendly design of functions, views and data access allows even untrained users to receive all basic health information of the components with a few clicks.
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