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Fuzzy Based

Association Rule Mining

Techniques

on Time series datasets of

Space vehicle parameters.

Christy G Enchackal

Reg number:91501022

M.Tech CS. TIST.

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Proposal

Development of Fuzzy based Association RuleMining Algorithm on Space vehicle parameters.

Objective

To discover hidden relationships amongmultiple system parameters during data

analysis.

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Contents

Motivation.

Objectives of proposed method.

Fuzzy ARM.

Time Series data.

Space vehicle parameters.

Proposed method.

Conclusion

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Motivation

Analysis ofmultiple space system parametersin an integrated manner.

For all possible conditions and off-nominalperformances of flight through various

simulation studies.

Done during design validation studies.

Essential and critical to mission success.

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Motivation

Major reasons

complexity of applications

the nature of space applications

inherent inaccessibility to the spacecraft or space

transportation system.

Current analysis techniques

analysis of parameters are in an isolated

manner

interactions among them are explored by

domain experts.

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Objectives of proposed method

Help to analyze the results of design validationstudies in an integrated manner in moreefficient way.

Reduces the requirement of human expertise inanalyzing.

Thus more number of cases can besystematically analyzed and decisionsregarding the performance of space vehicles.

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Fuzzy based Association Rule Mining

Fuzzy adaptations ofApriori and FP growth.

Fuzzy Apriori is very slow in case of large data

sets .

Fuzzy FP growth methods are memory

dependent.

So a new method known as Fuzzy ARM is

used

8-19 times faster than other methods

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Fuzzy based Association Rule Mining

Fuzzy Association rules use fuzzy logic to

convertnumerical attributes to fuzzy attribute.

maintains the integrity of information

conveyed by such numerical attributes.

crisp association rules use sharp partitioning

potentially introduce loss of information due tosharp ranges.

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Fuzzy based Association Rule Mining

Fuzzy association rules are important for

knowledge base development .

Uses of such knowledge base

System Health monitoring

Decision making support

Fault detection and diagnostics

Early Prediction of critical events

User interaction and Query Evaluation.

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Time series data

A time series is a collection of observationsmade sequentially in time .

Space vehicle flight data is strictly time series

data.

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Space vehicle parameters

Various kinds of Space vehicle parameters position and orientation parameters

control system parameters

guidance/steering parameters

Sequencing (task schedule) parameters

propulsion system

subsystem health parameters.

There are lot of measurements(in order of100s) during Space vehicle Systems

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Typical measurements are

Position parameters (X,Y,Z)

Orientation parameters (theta ,psi ,phi )control commands in Pitch, yaw and roll axis

{The three critical flight dynamics parameters are the anglesof rotation in three dimensions about the vehicle's center ofmass, known aspitch, roll andyaw }

Guidance commands - steering angles in in-plane andout-of-plane

propulsion systems - Chamber pressure, temperature,gas bottle pressures, temperature

Temperature sensorsStrain measurements

Inertial sensor measurements - accelerationcomponents

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Proposed

Method

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Conclusion

To develop a method

That would discover the deviations or

previously non-occurred patterns

Hidden relationships among multiple space

vehicle flight and system parameters,

Which would be helpful during design

validation studies.

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References

Fuzzy Association Rule Mining Algorithm for Fast andEfficient Performance on very large Datasets . Ashish

Manglapalli , Vikram Pudi

Fuzzy Logic -based Pre-processing for Fuzzy Association

Rule Mining . Ashish Manglapalli ,Vikram Pudi .

Fuzzy Association Rules: General Model and Applications .

Delgado, M., Marin, N., Sanchez, D., Vila

A systematic approach to the assessment of fuzzy association

rules. Dubois, D., Hllermeier .

Fuzzy Association Rules: A Two-Sided Approach . De Cock,

M., Cornelis, C., Kerre

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