Outcomes
An analysis solution for the OEM that provides:
- Identification and validation of legacy diagnostic system coverage
- Identification of potential options to increase system coverage by introducing new sensor locations
- Sensors allocation based on user defined parameters and restrictions to enable maximal coverage
- Identification of diagnostic rules to enable isolation of faults (Ambiguity resolution)
- Propagation tables to detect component responses
Process
The OEM analysed the maintenance records for the platform to identify components that were failing more frequently than expected, and used MADE to:
- Generate a MADE model of the engine and its expected mission profile/s
- Generate FMECA to identify / document critical failure modes for the system
- Assess inherent diagnostic capability (coverage) of the system (incl. BIT, control sensors)
- Identify additional sensors required to cover all critical / nominated failure modes
- Select appropriate sensors for nominated diagnostic solutions
- Compare the metrics for alternate diagnostic solutions (cost, weight, reliability)
- Select the optimal diagnostic solution (efficacy & business case)
- Generate diagnostic rules (model-based) for each failure mode
Outputs
MADE was used to generate the following deliverables:
Functional block diagram
Functional block diagram of the selected systems
PHM Coverage
Generation of sensor sets
Diagnostic rules
Identifies failures based on sensor response
FMEA / FMECA
Automatically generated from the MADE model to identify critical failure modes
Sensor Set Comparison
Allows users to compare sensor sets parameters (coverage, size, weight, cost)