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Helicopter Operations Monitoring Programme (HOMP) A helicopter Flight Data Monitoring A helicopter Flight Data Monitoring (FDM) programme (FDM) programme Shell Aircraft BRISTOW HELICOPTERS

A Trial Helicopter Operations Monitoring Programme (HOMP) F_Helicopter Operations... · Helicopter Operations Monitoring Programme (HOMP) A helicopter Flight Data Monitoring (FDM)

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Helicopter Operations Monitoring Programme (HOMP)

A helicopter Flight Data Monitoring A helicopter Flight Data Monitoring (FDM) programme(FDM) programme

Shell AircraftBRISTOW HELICOPTERS

What is Flight Data Monitoring?

Definition:“A systematic method of accessing, analysing and acting upon information obtained from digital flight data records of routine operations to improve safety”

FDM involves the pro-active use of flight data to identify and address operational risks before they can lead to incidents and accidents

Why Flight Data Monitoring?The Heinrich Pyramid

For every major accident there are several less significant accidents, hundreds of reportable incidents and thousands of unreported incidents

Below this lie the normal variations present in all operations

FDM gives more detail on the incidents, encourages more consistent reporting and fills in the void below this that we know very little about

Accidents

UnreportedOccurrences

Incidents

The Light Box

Risk ManagementContinuouslyidentify and

quantify risks

Are risksAcceptable?

Was actionEffective?

Yes

No

Take remedialaction

No

Yes

The “Closed Loop” Flight Data Monitoring Process

HOMP Trial Objectives

Establish how best to monitor helicopter flight operations

Evaluate the safety benefits of this monitoring

Evaluate the tools and equipment selected for the trial, eliminate technical risks

Establish a HOMP management strategy

Assess the workload for a typical operator

Obtain aircrew and management ‘buy-in’

Further expose Industry to the concept of a HOMP

HOMP Aircraft System

SHL 008

CQAR

CVFDR (existing)IHUMS DAPU (existing)

PCMCIA card Download/ReplayPCRemoved by maintainer

at end of day’s flying

REMOTE BASE(Scatsta)

DownloadPC

SHL 0082 Aircraft HOMP Ground-based

SystemRegular data transfer

MAIN BASE(Aberdeen)

SHL 008

Replay & Analysis System

3 Aircraft

Back-up System

ES-SDevelopment

Program developmentBA

Flight Data Analysis

Event analysisEvent analysis

– Detects exceedences of pre-defined operational envelopes and provides information on the extremes of the operation

Measurement analysisMeasurement analysis

– Takes a set of measurements on every flight and provides information on the whole operation

HOMP Analysis System

SHL 008

Flight Data Traces (FDT)

HOMP Analysis System

SHL 008

Flight DataSimulations

(FDS)

Flight Data Traces (FDT)

HOMP Analysis System

SHL 008

Flight DataSimulations

(FDS)

Flight DataFlight DataEventsEvents(FDE)(FDE)

Flight Data Traces (FDT)

HOMP Analysis System

SHL 008

Flight DataSimulations

(FDS)

Flight DataFlight DataEventsEvents(FDE)(FDE)

Flight Data Measurements (FDM)Flight Data Measurements (FDM)Flight Data Traces (FDT)

HOMP Analysis System

SHL 008

Flight DataSimulations

(FDS)

Flight DataFlight DataEventsEvents(FDE)(FDE)

Flight DataFlight DataMeasurementsMeasurements

(FDM)(FDM)Flight Data Traces (FDT)

Example HOMP Management Process

Flight dataHOMP

OPERATOR:Data Replay,Analysis andVerification

ConfidentialCrew Feedback

SAFETY OFFICER:Review Meeting

Reporting ofTrend information

to Managementand Staff

Changes toHOMP,

InvestigationsHOMP

MANAGER (PILOT):

Assessment

Changes toProcedures,

Manuals,Training

etc.

Event example: Take-off with full right pedal

Junior co-pilot flyingAircraft yawed sharply, pitched and rolled during lift-offCrew did not know what had gone wrongHOMP detected event and revealed the causeAutopilot engaged and gradually applied right pedalNo-one monitoring the controlsAlmost full right pedal still applied at lift-offDanger of aircraft roll-over

Tail Rotor & Collective Pitch

0

20

40

60

80

100

0.0 0.5 1.0 1.5 2.0 2.5Time (minutes)

Tail

Rot

or (%

)

4

6

8

10

12

14

16

Col

lect

ive

(deg

rees

)

AutopilotTail Rotor PedalCollective Pitch

Right

LeftAP Engaged

TR Pedal, Collective Pitch and Autopilot vs Time

Tail Rotor Pedal

Collective PitchAutopilot Engaged

Event example: Inadvertent loss of airspeed

Returning to airfield via low-level route

Co-pilot decided weather unsuitable, initiated climb for instrument approach

Aircraft now below MSA near terrain

Co-pilot attempted to climb steeply to avoid terrain

Airspeed below minimum IMC for 1 minute and reached 30kts

Danger of loss of controlView showing loss of airspeed during climb

Event example: Takeoff with cabin heater on

Heater must be off for takeoff and landing as there is single-engine performance penalty

Many occurrences of heater being left on

Offshore check list does not include this item

A general bulletin was issued to aircrew

Very few events subsequently occurred

Decision not to add item to already long pre-takeoff checklist

HOMP enabled action to be taken, then monitored the effectiveness of this action

Event example: Taxiing in rollover zone

Rollover can be induced during taxiing

Many events triggered, in several cases control positions were close to those in a previous accident

Confidential feedback to crew, issue highlighted in a flight safety newsletter

Only a limited reduction in events

Second campaign, including memo to training captains and another newsletter

Event occurrence rate dropped significantly

Control positions

0

10

20

30

40

50

60

70

80

90

100

0 20 40 60 80 100

Full left Yaw Pedal Full right

HOMP event control positions

Accident control positions

Rollover Line

Rollover Line

Accident Control Positions

HOMP Event Control Positions

TR Pedal and Lateral Cyclic

Event Trend Analysis

Event trend data produced for a 6 month period

Severity scale developed and severities allocated to events

Top 5 events in terms of cumulative severity:

– VNO exceedence– Autopilot left engaged after

landing– Flight through hot gas– Excessive deck motion– Turbulence

Trend information used to select items for a newsletter to aircrew

Cumulative event severities

HOMP events identified issues with:

Pilot knowledge & skill

Gaps in the training system

Operating procedures

Environmental operating limitations

CRM

Culture at remote operating bases

Measurement example: Mapping the environment

070°T

345°T 030°TLow

Medium

High000°

090°270°

180°

30 kts

40 kts

20 kts

10 kts

HOMP turbulence/workload data for Brae B

Old IVLL entry for Brae B

New IVLL entry for Brae B

Measurement example: Operating differences by installation

HOMP data used to compare operations to different platformsAverage of turbulence/workload parameter plotted by installationChart shows top 9 and bottom 10 installationsTop installations all have features explaining high parameter values

0

0.5

1

1.5

2

2.5

3

3.5

CAPT

ANASBRAEAMCURLCAFPSBRAEBNPRODBRNTC

SF140

NIN

JUDY

TIFF

S712

EBRAEARMADDUNLA

THISAGALA

XDSTAR

Installation

Ave

rage

Tur

bule

nce

or W

orkl

oad

Average of turbulence/workload parameter by installation

Captain platform with large structure close to helideck

Measurement example: Operating differences by installation

HOMP data used to compare operations to different platformsAverage of turbulence/workload parameter plotted by installationChart shows top 9 and bottom 10 installationsTop installations all have features explaining high parameter values

Average of turbulence/workload parameter by installation

0

0.5

1

1.5

2

2.5

3

3.5

CAPT

ANASBRAEAMCURLCAFPSBRAEBNPRODBRNTC

SF140

NIN

JUDY

TIFF

S712

EBRAEARMADDUNLA

THISAGALA

XDSTAR

Installation

Ave

rage

Tur

bule

nce

or W

orkl

oad

Captain

Brae ABrae B

Av

Tur

bule

nce/

Wor

kloa

d

Installation

Measurement example: Operating differences by installation

HOMP data used to compare operations to different platformsAverage of turbulence/workload parameter plotted by installationChart shows top 9 and bottom 10 installationsTop installations all have features explaining high parameter values

0

0.5

1

1.5

2

2.5

3

3.5

CAPT

ANASBRAEAMCURLCAFPSBRAEBNPRODBRNTC

SF140

NIN

JUDY

TIFF

S712

EBRAEARMADDUNLA

THISAGALA

XDSTAR

Installation

Ave

rage

Tur

bule

nce

or W

orkl

oad

Average of turbulence/workload parameter by installation

Captain platform with large structure close to helideck

Measurement example: Offshore take-off profile

Offshore take-off profile aimed at minimising risk of an accident due to an engine failure on take-off (exposure time)(1) Exposure to deck edge strike: Measurements checked adherence to Ops Manual advice on take-off rotation manoeuvre(2) Exposure to ditching: Measurements made of time to 35kts from rotation, which is greater than time to Vfly-away

Maximum pitch angle (average = 10 to 11 degrees)

Time to 35kts (50% point on cumulative percentage graph= 4.5 secs)

Rig Take-off: Time to 35kts

0

100

200

300

400

500

600

700

0 1 2 3 4 5 6 7 8 9 10 11 12 13

Time (seconds)

Freq

uenc

y0

10

20

30

40

50

60

70

80

90

100

%FrequencyCumulative %

Measurement example: Offshore take-off profile

(1) Exposure to deck edge strike: Measurements checked adherence to Ops Manual advice on take-off rotation manoeuvre

Freq

uenc

y

Max Pitch Angle

Average = 10 to 11 degrees

Measurement example: Offshore take-off profile

(2) Exposure to ditching: Measurements made of time to 35kts from rotation, which is greater than time to Vfly-away

Rig Take-off: Time to 35kts

0

100

200

300

400

500

600

700

0 1 2 3 4 5 6 7 8 9 10 11 12 13

Time (seconds)

Freq

uenc

y

0

10

20

30

40

50

60

70

80

90

100

%FrequencyCumulative %

Freq

uenc

y

Time to 35kts

Cumulative Percentage(50% point = 4.5 secs)

Measurement example: Offshore vertical landing profile

Night time vertical landing profile measurements implemented to support CAA helideck lighting researchSix approach angle and height measurements made from 0.1 to 1.0nm from touchdownMean approach angles at 0.3nm and 0.6nm from touchdown were 5.5 and 4.0 degrees respectively

Rig Landing at night:Elevation at 0.6nm

0

5

10

15

20

25

30

35

40

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 7 7.5 8 8.5 9.5 10 10.5

Elevation (degrees)

Freq

uenc

y0

20

40

60

80

100

120

FrequencyCumumlative %

Rig Landing at night:Elevation at 0.3nm

0

5

10

15

20

25

30

35

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 7 7.5 8 8.5 9 9.5 10 10.5 11 11.5

Elevation (degrees)

Freq

uenc

y

0

20

40

60

80

100

120

FrequencyCumumlative %

Approach angle 0.3nm from touchdown Approach angle 0.6nm from touchdown

HOMP feedback into training:

HOMP lessons can be fed back into the training process

HOMP information can identify areas for improvements in training (e.g. taxiing technique)

HOMP events can be used to highlight key safety-related points (e.g. danger of loss of airspeed in IMC)

HOMP data can be used to improve pilot technique (e.g. flying ILS approach)

HOMP feedback into engineering:

HOMP enables continuous checking of FDR parameters

HOMP data can be used to troubleshoot pilot reported problems (e.g. event created to trap intermittent engine fault)

HOMP data can be used to assess structural impact of events (e.g. aircraft hit by line squall)

HOMP data can be used to detect misuse which could impact reliability (e.g. excessive use of collective)

Example Implementation Costs

StartStart--up costsup costs

– Per aircraft costs (including CQAR, mod kit and installation): typically no more than £10k

– Ground based system costs (3 fleets, including hardware, software and configuration): typically no more than £80k

– System introduction and commissioning

OnOn--going costsgoing costs

– Personnel (3 fleets): One full-time technician, one part-time HOMP Manager (1/3 time), one part-time Fleet Rep per fleet (1/4 time), Flight Safety Officer (1/4 time)

– System maintenance and support

Summary

The HOMP provided valuable new information on the risks associated with helicopter offshore operations

Events have identified hazards which otherwise would not have come to light

The operator has been able to take appropriate corrective and preventative measures

The measurements are building a useful picture of everyday operations which has not previously available

The HOMP has shown how pro-active use of flight data in a FDM programme can significantly enhance the safety of helicopter offshore operations

In Conclusion

The HOMP successfully identified and addressed significant safety issues

The HOMP trial demonstrated that it is a practical and cost effective flight safety tool

The trial equipment was very reliable and effective

The operator has implemented good HOMP operation and management procedures and aircrew response has been positive

Because of this success, UKOOA has committed its members to implement HOMP on all UK offshore helicopters