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Statistical
Analysis/Predictive Analytics
Predictive Analytics
 Predictive
Analytics is an advanced form of statistical analysis that combines
data from multiple technologies: operational data, equipment sensor
data, lubrication data and other data inputs. Predictive Analytics
uses trending and variant analysis coupled with multiple regression
analysis to predict when a failure will occur or the rate of
degradation of a component. Using Paired or Multiple Indicators to
build predictive models increases the confidence level of the
results.
The PdM System enables intimate understanding of the health of the
machinery at all times. It enables users to reduce costs and improve
efficiency of the overall maintenance management process by planning
work based on the actual maintenance need rather than a time based
prescription. It provides relevant data to trend and analyze. With
the data, predictive analytic modeling can be applied to create an
effective rule structure with early warning of potential failures.
The PdM System is designed to avoid missed detections and minimize
false alarms.
Most failures involve not just one fault but also a series of
different faults developed over time. The PdM System is designed to
discover and correlate the development of multiple faults early
enough to plan remedies and avoid unplanned failures.
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