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Data Sharing
Intro – FDM operational insight
Experience and common sense
Data
Both combined
Collaboration
Collective common sense
Especially important for smaller operators
We are talking about
FDM: Safety concerns based on FDR data
From landing to a safety event
Air Hardland – a story
Detecting drift in operation
We are NOT talking about
Predicting risk in an operation – rather a drift
Data from sources other than FDR data
Gravitational waves
From landing to safety event
From landing to safety event
Aircraft landed
Data transferred to server
Flight analysed
Key-point value (KPV)
Key-point value (KPV)
Key-point value (KPV)
Events
0
1
2
3
4
5
6
7
8
9
10
High Normal g At Touchdown – Hard Landing
Event-validation
Done by a flight data analyst
Parameters around the time of event are visually inspected
Decision is made whether the event is a valid one
Data Sharing Initiatives
Flight Data Sharing Initiatives
Flight Data Services
90 customers; strongest in Scandinavia
3 Million flights since 2006
IATA Flight Data eXchange (FDX)
65 airlines; strongest in Latin America, big queue!
5 Million flights since 2012
FAA’s Aviation Safety Information Analysis and Sharing (ASIAS)
45 USA airlines
11 Million flights since 2007
Proprietary Operational Data (POD) group
12 large operators since late 1990s
China
China CAA
Voluntary(?!)
EASA’s Data4Safety
European version of ASIAS
Starting soon!
Asia Pacific
Singapore CAA driving
Not yet started
Established initiatives Less well known
Connect to Flight Data eXchange
Air Hardland story
Air Hardland are a new
promising business
aviation operator and
have flown one flight
already!
Meet Romeo, their flight
safety officer.
Air Hardland story
After the very first flight, impatient Romeo
decided to take a look at normal g at
touchdown, concerned about customers’
comfort and safety
With a single key-press, he gets his first chart…
Air Hardland story
Air Hardland story
Romeo concludes that he has to wait for
more flights to be flown before he can
answer his ultimate question
Air Hardland story
After a month and 25 flights flown…
Air Hardland story
The safety
management has
some questions!
Air Hardland story
How many hard landings did we have in the
last month?
Air Hardland story – Setting threshold
Air Hardland story – Setting threshold
Air Hardland story – Setting threshold
Air Hardland story
There were 2 events in 25 flights
event-rate = 2/25 x 1000 = 80
events per 1000 flights
Nice, but…
He reports to the management:
Air Hardland story
The safety
management has
some more
questions!
Air Hardland story
With respect to hard landings, how do we
compare to similar operators?
Air Hardland story
Romeo: How should I know that?
Manager: We do data sharing with Air Despair.
Check what they have on hard landings.
Romeo: Oh yes, I’ll call Juliet.
Phone: krrrr krrrr krrrr
Air Hardland story
0
1
2
3
4
5
6
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8
9
Hard Landing Low Pitch at
Touchdown
Long Flare
Duration
High Lateral g
Taxiing
Airspeed High at
Touchdown
Air Hardland Nowing Jets Air Despair
Air Hardland story
Oh my! Are we really so bad?
Romeo showed the embarrassing chart and
they went home in silence.
Air Hardland story
In the morning…
Air Hardland story
What value did she use as threshold?!
I remember I had trouble setting a threshold.
Then he calls Juliet again and…
He was right!
Air Hardland story – Romeo vs. Juliet
Round 1
Air Hardland story
Air Hardland story
Air Hardland story – Event thresholds
Is something wrong with the way how the two
compared their data?
Which threshold is correct?
Air Hardland story – Event thresholds
Manufacturers set the structural thresholds
Based on test flights
Can be set lower for addressing safety issues
Air Hardland story - Collaborating
Air Hardland, Air Despair and Nowing Jets
combined their data and met to discuss the
issue…
Air Hardland story – Collaborating
Air Hardland story
Air Hardland story
They agreed upon the threshold, but were still
unable to tell which one was right…
Air Hardland story
So, in the next month…
Air Hardland story
Air Hardland and Air Despair
have both flown 50 flights
and agreed to set their thresholds
1.8g
Air Hardland story
Romeo against Juliet – Round 2
Air Hardland story – Romeo vs. Juliet
Round 2
Air Hardland story – Being proactive
Romeo against Romeo
Air Hardland story – Being proactive
Air Hardland story – Being proactive
Air Hardland story – Being proactive
Air Hardland story – Lessons learned
Events
Easy to understand
Hard to see drift
Cannot/Difficult to compare operators
Thresholds change – problem with statistics
Being reactive
Air Hardland story – Lessons learned
Collaboration
Better statistics
More realistic thresholds
Another pair of eyes
Comparable results
Air Hardland story – Lessons learned
Being proactive
Reactive Address issue after event
Proactive
Address issue before event
Predictive
if we continue like this…?
Links
www.flightdatacommunity.com
“We believe we could all have safer air travel if the aviation industry had a common platform to share flight data. ”
OpenSource – algorithm sharing
Blogs/Texts on Aviation Safety
Flight Data Transfer
Parameters Dependencies
Air Hardland story – Lessons learned
THAT’S ALL FOLKS!
THANKS!
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