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Deepen FOQA Use and
Continue to Improve
Flying Skills
China Southern Airlines
1 Introduction to CSN FOQA operation
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Build FOQA application platform based on QAR big data
Professional analysis based on technical advantage
Contents
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Deepen FOQA use and continue to improve flying skills
Challenges
Introduction to CSN FOQA operation 1.
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CSN flight management department executes FOQA functions, incorporating professional
advantage from 47 chief pilots and check airmen. FOQA is widely utilized in flight
training, safety management and flight operations.
Introduction to CSN FOQA operation
CSN established a FOQA system in 1998 with the aim of bringing FOQA into the scientific management system to improve flight technology, analyze quality trends, control safety risks and ensure flight safety.
CSN FOQA coverage: 9 types of 533 airplanes: A320\A330\A380\B737\B747\B757\B777\B787\E190 6000+ pilots: 2800+ captains and 3200+ first officers 2000+ flight legs every day covering 40+ countries and regions.
Build FOQA application platform based on QAR big data
2.
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CSN has independently developed a Flight Data Application System based on QAR data and set up a platform incorporating flight data from flight, maintenance and operations.
The systematic management of FOQA includes functional modules like raw data
collection, events classification and statistics, new captain monitoring, first officers
monitoring, monitoring on frequent occurrence aircraft types, airports and
companies, and risk source identification and analysis.
FOQA has supported flight training with data to improve flying skills and provided
scientific basis to improve flying skills.
Third Prize for modernized and creative achievements in communication enterprises
of China, year 2015.
Build FOQA application platform based on QAR big data
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Professional analysis based on QAR technology
3.
Analysis: With the automation level increasing and
recruitment of new pilots, young pilots need to improve
their basis flying skills.
the last barrier to most accidents is crew flying skills.
Observation: QAR monitored events increasing
Long flare, High G on touchdown, low altitude attitude unstable
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FOQA big data analysis and application –
Handling ability degradation
Solution: More simulator and base trainings for young
pilots.
?
1 more simulator training and evaluation for Cat C F/O upgrade training
integrated with recurrent training
1 more simulator training and evaluation for Cat D F/O upgrade training
integrated with recurrent training
For captain upgrade training, 1 session of takeoff and landing handling
before simulator upgrade training.
Instructor’s comment, personal application, company recommendation.
With the special advantage of Nanyang Airport, CSN can do unlimited
takeoffs and landings to meet the need for base training at all cost.
CSN has accomplished over 2320 hours of base training on basic
aircraft types by the end of August.
FOQA big data analysis and application – measures taken
Training plans
FOQA big data analysis and application – management tools
Monthly analysis and review
Daily reports, weekly reports and monthly
reports Important events don’t stay overnight. Weekly review of exceedance events. Monthly
analysis of quality trends.
Find the problem: What aircraft? What airport? What branch? What people? What technical
problems?
Common problems: Compose courseware, organize technical workshop, issue operational
guideline
Unique problems: Organize technical review, specific simulator training, scheduled technical
Chief pilots and check airmen are involved in the trend analysis for various aircraft types,
companies and airports. They analyze and review important events, compose courseware
and take measures in flight training.
Deepen FOQA use and continue to improve flying skills
4.
Introduce FOQA in pilot training as a directive tool and produce competent
captains
Categorize first officer training into Levels A, B, C and D.
Establish an integrated training system and unify courseware, training subjects and check
standards in upgrade trainings.
Classify QAR data from various dimensions and use statistics on first officers from different levels to compose specific simulator training subjects
Increase simulator training with the focus on basic handling in complicated weather conditions. Add 1 session of base training to improve first officers’ handling ability.
Train captains with competence and discipline
Use FOQA in the right way and prevent it from being an evaluation method.
Standardized flying with SOP as the basis.
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。 • Loosen the monitor criteria above 200 AGL so that pilots can make corrections within the envelope with
confidence. Special analysis for special airports and special procedures: PUS circle to land, JFK 13R VOR, Tokyo
Modify FOQA criteria
• No ranking for fellow companies. Relieve the pressure on instructors and encourage active teaching. Instruction handling events exemption.
Prevent evaluating pilots with QAR data
Case 1
June 2015, multi B777 flights from CAN to JFK triggered unstable
events like “500 – 50 feet excessive bank angle”, “bank unstable below
100 feet”, “bank unstable before flare” during VOR approaches to
runway 13R and wingtip strike risk was present.
Chief pilots and check airmen analyzed QAR data carefully and
organized debriefings to find out the causes for excessive bank angle:
1. The airplane arrives at dawn break. The sky appears bright
while the ground appears dark.
2. The VOR approach has a great intercept angle and short
distance into visual flight (94º angle and 2.6 miles from runway
threshold).
3. Insufficient right bank in initial final interception causes the
airplane to overshoot. Bank unstable occurs when pilots have to
correct back.
With the chief pilots and check airmen’s suggestion, the bank
monitor criteria above 200 AGL in JFK was modified so that pilots can
make corrections with confidence not to violate monitor criteria when
visual is initially acquired. Pilots are also required to go around if the
airplane is not stable at 300 feet.
Therefore, the right use of FOQA encourages pilots to follow SOP
as well as improves safety.
Use FOQA to prevent risk, improve technology and guarantee safety.
By loosening and tightening the monitor with 200 feet as the threshold, FOQA has become a key method in improving flying skills and guaranteeing safety.
1 Risk prevention
Focus on unstable
events below 200 feet,
e.g. excessive bank,
excessive sink rate,
high G on touchdown.
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Specific training to improve
skills
Captains who have demonstrated unstable attitude controlling at low altitude are put into dedicated simulator training where their technical defects are targeted. No punishment. They become more competent captains through dedicated simulator and base training.
Use QAR data accurately to solve technical difficulties
3. Chief pilots and
check airmen use
QAR big data to
classify and analyze
frequent and severe
occurrence. Flight
procedures are
improved and
promoted in simulator
and base training to
target technical
defects.
1. Train first
officers’ basic
flying skills
according to
the training
syllabus
2. Classify and
analyze first officers’
handling quality with
QAR data. Formulate
specific training
subjects for additional
training to improve
flying skills.
2 – 3 airplanes per month dedicated to base training at Nanyang airfield.
Flight training at all cost.
Continuous improvement of flying skills and operation safety
Statistical analysis of QAR big data from operational flights reveals
technical defect trends.
Continuous improvement of handling ability by technical symposiums
focused on handling, takeoff and landing, and basic flying skills.
Time AP off
(altitude/distance
to runway)
First correction (altitude/distance
to runway)
Event triggered (altitude/distance
to runway)
Relative pos to
3º G/S at
“excessive bank”
Event 1 16:00 1000ft
3. 5 nm
940ft
3.3 nm
394ft
1.6 nm -120ft
Event 2 14:00 495ft
1.7 nm
395ft
1.45 nm
157ft
0.8nm -100ft
Event 3 17:00 1000ft
3.4 nm
970ft
3.3 nm
440ft
1.7 nm -104ft
Event 4 17:00 850ft
3.0 nm
800ft
2.8 nm
400ft
1.45 nm -64ft
Event 5 17:00 1000ft
3.4 nm
900ft
3.1 nm
460ft
1.7 nm -84ft
Event 6 17:00 660ft
2.3 nm
550ft
1.9 nm
270ft
1.0 nm -50ft
Event 7 17:00 730ft
3.0 nm
710ft
2.9 nm
430ft
1.6 nm -82ft
Event 8 17:00 960ft
3.1 nm
860ft
2.9 nm
360ft
1.3 nm -56ft
Max intercept angle (º)
Max bank Momentary sink rate
13° 9.14° 566ft/min
14° 11.95° 760ft/min
18° 12.83° 753ft/min
11° 11.07° 1005ft/min
15° 9.14° 1060ft/min
11° 11.78° 1280ft/min
20° 9.49° 870ft/min
18° 10.37° 702ft/min
Case 1:
Frequent occurrence of low altitude excessive bank angle during VOR approaches at KHG in
May 2014. 8 of the events are analyzed with QAR data.
1. All events occurred in the afternoon when sunlight was strong and turbulence was present.
2. All flights made corrections immediately after autopilot disconnection.
3. All intercept angles greater than 10º and the maximum was 20º, three times the angle between VOR course and final on approach chart.
4. All excessive bank angle occurred at below 500 ft AGL, and the lowest was 157 ft. Stable approach was not achieved.
5. Pilots failed to maintain the right altitude/distance ratio because of excessive bank angle and all flights were lower than the normal 3º glideslope.
Conclusion: pilots hurry to intercept final with runway in sight, overlooking the unstable factor brought by intercept angle and corrections.
Operation guideline
issued:
For the visual segment
of a non-precision
approach, “Approach to
final, then turn” is a
better way to achieve
stable approach.
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There is difference between the handling of B777F and
B777-300. Monitor data showed that B777-300 often had high
vertical G at touchdown, a potential risk of heavy landing.
Chief pilots and check airmen worked with China Eastern
colleagues on a specific study and composed courseware to
be used by all pilots.
Operation guideline issued: start flare higher to allow for a
short float before touchdown. Don’t decrease pitch attitude in
flare to avoid rough pull just prior to touchdown.
How to handle aiming too high when crossing runway
threshold?
High G events decrease significantly.
Case 2
Challenges and suggestions 5.
。
FOQA punishment makes pilots overly concerned about QAR monitor criteria, which leads
to deviations from SOP and potential safety risks. Instructors’ fear of QAR events lead to
less handling opportunities for F/O, which is a potential safety risk.
With the progress of aviation technology and wide use of RNV approach, PNP-AR approach
and CAT II approach, the operation environment has become more complicated. Higher
requirement on pilots’ flying skills makes it difficult for conventional FOQA to meet the
demand of risk control.
Utilize Internet+ to build a platform for QAR big data applications. Implement FOQA in flight
training to improve flying skills. Implement FOQA in safety management to locate risk
sources. Implement FOQA in maintenance to guarantee flight safety.
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