Aircraft type : | Business jet |
---|---|
Mean flights duration : | 2 hours |
Mean flights cycles per day : | 0.5 |
AOG costs : | 500$ per hour |
Aircraft type: | Single Aisle |
---|---|
Flights mean duration: | 1.5 hours |
Flights mean quantity per day: | 6 |
AOG costs: | 10 000$ per hour |
Part | Yearly cost per aircraft | Your score |
---|---|---|
Oil filter i
Test
|
$ | |
Shock absorber i
Test
|
$ | |
Anti-skid valve i
Test
|
$ | |
Hydraulic pump i
Test
|
$ |
Function: | To control brakes |
---|---|
Possible causes of failure: | Leakage |
Mean Time Between Failure: | 7000 flight cycles |
In case of failure: | NOGO |
Mean time to repair | |
---|---|
hours | |
Workman cost | |
$ | |
Spare part + logistic cost | |
$ | |
Aircraft on ground | |
Yes |
Mean time to repair |
---|
2 hours |
Workman cost |
800$ |
Spare part & logistic cost |
5 500$ |
Aircraft on ground |
No |
Periodicity
|
Every flight cycles |
Mean time to repair |
---|
2 hours |
Workman cost |
800$ |
Spare part + logistic cost |
5 500$ |
Aircraft on ground |
No |
Invest in predictive system If yes yearly cost is : 1 000 $ per AC |
---|
|
Objective |
Predict a failure 10 flights (minimum) in advance |
Parameter to monitor |
T = Fluid temperature (C°) D = Cumulated duration at high temperature (minutes) |
Algorithm |
Threshold on Cumulated duration at high temperature (T-
Tlimit)*D > Dlimit Limit-Curve n° |
Function: | To filter contaminants from engine oil |
---|---|
Possible causes of failure: | Filter clogging |
Mean Time Between Failure: | 200 flight hours |
In case of failure: | NOGO |
Mean time to repair | |
---|---|
hours | |
Workman cost | |
$ | |
Spare part + logistic cost | |
$ | |
Aircraft on ground | |
Yes |
Mean time to repair |
---|
1 hour |
Workman cost |
200$ |
Spare part + logistic cost |
210$ |
Aircraft on ground |
No |
Periodicity
|
Every flight hours |
Mean time to repair |
---|
1 hour |
Workman cost |
200$ |
Spare part + logistic cost |
210$ |
Aircraft on ground |
No |
Invest in predictive system if yes, cost is 500$ per AC |
---|
|
Objective |
Predict a failure 10 flights (minimum) in advance |
Parameter to monitor |
DeltaP : delta Pressure (normalized) |
Algorithm |
Function: | To maintain appropriate hydraulic pressure |
---|---|
Possible causes of failure: |
|
Mean Time Between Failure: | 20 000 flight hours |
In case of failure: | NOGO |
Mean time to repair | |
---|---|
hours | |
Workman cost | |
$ | |
Spare part + logistic cost | |
$ | |
Aircraft on ground | |
Yes |
Mean time to repair |
---|
2 hours |
Workman cost |
800$ |
Spare part + logistic cost |
8 500$ |
Aircraft on ground |
No |
Periodicity
|
Every flight hours |
Mean time to repair |
---|
2 hours |
Workman cost |
800$ |
Spare part + logistic cost |
8 500$ |
Aircraft on ground |
No |
Invest in predictive system if yes, yearly cost is 1 000$ per AC |
---|
|
Objective |
Predict a failure 10 flights (minimum) in advance |
Parameter to monitor |
Critical health state indicator calculated by an algorithm
based on : Flow rate, pressure and temperature measurements Hybridation with a physical model of the pump AI classification trained on failure manifestations |
Algorithm |
Function: | Reduce the impact force at landing |
---|---|
Possible causes of failure: |
|
Mean Time Between Failure: | 10 000 flight cycles |
In case of failure : | NOGO |
Mean time to repair | |
---|---|
hours | |
Workman cost | |
$ | |
Spare part + logistic cost | |
$ | |
Aircraft on ground | |
Yes |
Mean time to repair |
---|
6 hours |
Workman cost |
4 800$ |
Spare part + logistic cost |
5 500$ |
Aircraft on ground |
No |
Periodicity
|
Every flight cycles |
Mean time to repair |
---|
6 hours |
Workman cost |
4 800$ |
Spare part + logistic cost |
5 500$ |
Aircraft on ground |
No |
Invest in predictive system if yes, yearly cost is 1 000$ per AC |
---|
|
Objective |
Predict a failure 10 flights (minimum) in advance |
Parameter to monitor |
Vz : Vertical velocity (at touchdown) - normalized Az : Vertical acceleration (at touchdown) - normalized |
Algorithm |
$
Score > 80 | Excellent ! |
80 > Score > 50 | Good ! |
50 > Score > 25 | Better optimize your predictive maintenance ! |
25 > Score | You should implement predictive maintenance ! |
Part | Yearly cost per aircraft | Your score |
---|---|---|
Oil filter | $ | |
Shock absorber | $ | |
Anti-skid valve | $ | |
Hydraulic pump | $ |
secs
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