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Predictive Health Management Services
CASE STUDIES


Life prediction of turbine engines using field data
Crack inspection of turbine blades is important to prevent entire system loss but requires high cost and time. Therefore, optimal...
PHMS


Inspection plan of aircraft structures
Aircraft structures should be inspected routinely by NDI so that the fatigue damage can be detected before failure, but it requires high...
PHMS


Estimating SOC/SOH for battery of hybrid engine in UAM
Batteries for electric aircraft require much higher reliability in SOC (State of Charge) and SOH (State of Health) estimation than those...
PHMS


Life prediction of Li-ion battery for energy storage system
Accurate life prediction of battery is important for the optimal maintenance policy in the ESS. Battery life is predicted based on the...
PHMS


Life prediction of aircraft engine by sensor data
Life of aircraft engine is predicted using the sensors data made by a virtual simulation C-MAPSS. In order to overcome training data...
PHMS


Kalman filter based prognosis for drone motors
To prevent drone failure by motor torque degradation, Kalman filter based PHM framework is developed to diagnose each motor’s health and...
PHMS


Failure prediction of motor in satellites
As the failure of reaction wheel motors are critical to satellite operation, its RUL prediction is important while it is in operation. A...
PHMS
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