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Diagnostic Profiler and Diagnostician
Prognostics Framework
  Introduction
  Reasoning
  Outputs
  Information Framework
  Software Architecture
  Run-Time Demonstration
  Development System
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Operator Debrief
 
Prognostics Framework
 

Information Framework

The Prognostics Framework establishes an object oriented information framework for system health monitoring. The information framework can display or log any relevant information.

CATEGORY

ELEMENTS

DESIGN DATA

Hierarchy of system, subsystem, parts, faults

Failure modes, criticality & rates

SYSTEM DATA MANAGEMENT

Input Data Definition (format, location, dimension & description)

Prediction times to be extrapolated in run-time
Time standard

TEST/SENSOR DATA

BIT data mapping
Sensor data mapping
Wear/Usage data mapping

HEALTH MANAGEMENT

Detection algorithms
Diagnostic coverage
Prediction algorithms
Input data processing & filtering
Confidence factors

MISSION SUPPORT

Mission profile
Function correlation to mission phases
Function criticality to mission
Immediate operator actions

MAINTENANCE SUPPORT

Repair item definition
Combinations of repair items
Repair actions (IETM interface)
Parts ordering data
Preventive Maintenance triggers

The object oriented information framework established by the Prognostics Framework can be used to integrate any other equipment-specific prognostic and trending technique into an overall system-level health management system. The Prognostic Framework is capable of integrating other prognostic techniques that are highly specific to various equipment classes and failure modes into the overall framework, such as oil monitoring systems, vibration analysis systems, thermo graphic/video imaging, etc.   Integration of prognostic techniques into the Prognostics Framework is accomplished by defining the processed results of those techniques as one (or several) test/sensor inputs to the model, including fault/symptom coverage, impact of failures on system functions and criticality. If the prognostic technique has its own user interface, the Prognostics Framework run-time user interface then has the capability to display that interface at any time. 

The information architecture used in the Prognostics Framework is powerful and flexible. Models for specific pieces of equipment can be combined into the overall system hierarchy and test/sensor inferences and interdependencies across the system level can be defined. 

 

 
 
 
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