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ACN-PCN – Case Study
Traffic Information – ACN for each airplane
DESIGN
AIRPLANE
Allowable
Gross Wt lbs
Equivalent
Annual
Departures ACN/R/B
131,949
304,550
27,823
36,083
331,849
714,859
63,056
1,308,008
41,707
39,457
167,329
3,998,329
50,534
35,206
A300-b4 std 433,500 73.1
B737-700 174,700 50.5
A380 basic body 1,673,000 110.2
A380 basic wing 1,485,000 85.1
B727-100 alt 185,000 53.7
B737-400 163,000 49.0
B747-400 1,032,200 79.6
B757-200 338,000 54.7
B787-8 549,000 83.2
B777-300 baseline 875,000 109.0
DC8-63/73 409,000 72.8
DC9-51 COMFAA limit COMFAA limit
DC-10-10 590,000 80.3
MD-11ER 738,000 86.4
PCN values
determined by
treating each
airplane as the
design airplane
Airplane weights may exceed practical limits
?
87
Transportation Systems Workshop
April 23, 2008
Federal Aviation
Administration
87
ACN-PCN – Case Study
Traffic Information – FAARFIELD Analysis
17.5 LED
design thickness
Airplane Gross Wt.
lbs
Annual
Departures
CDF
Contribution
CDF Max
for airplane
CDF
Contributi
on
CDF Max
for airplane
0.02 0.02
0.01 0.18
0.00 0.00
0.00 0.00
0.00 0.01
0.01 0.01
0.00 0.00
0.16 0.16
0.08 0.09
0.00 0.00
0.00 0.00
0.00 0.00
0.00 0.00
0.00 0.01
0.00 0.00
0.00 0.00
A300-B4 std 375,000 3,102 0.02 0.07
B737-700 174,700 100,000 0.81 0.84
B737-700 174,700 1,952 0.02 0.02
B727-100C Alt 172,000 382 0.00 0.00
B737-400 150,500 83,884 0.05 0.06
B747-400 873,000 918 0.02 0.04
B757-200 250,000 19,851 0.00 0.00
B787-8 478,000 9,875 0.04 0.51
B777-300 Baseline 662,000 6,141 0.01 0.27
DC8-63/73 358,000 299 0.01 0.01
DC9-51 115,000 32 0.00 0.00
DC10-10 458,000 1,726 0.00 0.01
MD11ER 621,000 166 0.00 0.01
MD11ER Belly 621,000 166 0.00 0.02
A380 1 Body 1,235,000 75 0.00 0.00
A380 1 Wing 1,235,000 75 0.00 0.00
18.25 existing
thickness
Federal Aviation
Administration 88
Transportation Systems Workshop
April 23, 2008
Questions or Comments?
1
Case Study –
Reducing Premature Failure of Parts with Interactive
Virtual Training for Generator Operators
Erik Kaas
Director, Product Management
NGRAIN Corporation
ekaas@ngrain.com
Joint Service Power Expo
San Diego
April 24-27, 2007
Agenda
Training Challenges
Virtual Maintenance Trainers
Case Study – 3kW Tactical Quiet Generator
Conclusions
Common Challenges in Training
􀀸 Some tasks cannot be trained, due to
expense or lack of access to
equipment
􀀸 Soldiers receive limited training before
being deployed: task-based, on-thejob
training is critical
􀀸 Training budgets are limited, yet
training demand is increasing
􀀸 Total Package Fielding requires rapid
and effective New Equipment
Training
Students Remember
10% of what they read
20% of what they hear
30% of what they see
50% of what they see and hear
70% of what they say or write
90% of what they do
Source: Airbus/Journal of Civil Aviation Training (Issue 1, 2006)
Learning Theory
Active
Learning
􀀸High cost
􀀸Difficult to create and update
􀀸Limited access
􀀹High learning effectiveness
􀀹Low cost
􀀹Easy to create and update
􀀹Anytime, anywhere access
􀀸Low learning effectiveness
Gap
􀀹Low cost
􀀹Easy to create and update
􀀹Anytime, anywhere access
􀀹High learning effectiveness
Text Multimedia Hard Trainers Live Equipment
Interactive Virtual
Maintenance Trainers
Training Methods
Virtual Maintenance Trainers
Virtual 3D equipment
simulations to:
Familiarize
Acquire
Practice
Validate & Test
Proven ROI: Train 60%
Faster
Benefits of Virtual Maintenance Trainers
􀀹 Let students learn from their
mistakes, safely
􀀹 Let training take place without
the expense of equipment
􀀹 Reduce wear and tear on
equipment
􀀹 Enable task-based, on-the-job
training
􀀹 Students are more engaged and
motivated
Case Study: 3kW TQG Operator Course
　
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