AusIntermodel 2016

Anthony Roe

“The Rise of Cognitive Techniques in

Operational Management of Rail and

Transport Infrastructure ”

2

The rise of the Cognitive Era: Why Now?

Computation

Machine

LearningDigitised

Data

Complex relations that are different under different context and may be different at different times

3

Large networks of smart things interacting with each other

Inputs Inputs Inputs

Outp

uts

Outp

uts

Outp

uts

Scale, diversity and complexity make

the relationships between inputs and

outputs difficult to determine

Best Option = determine

correlations between input and

output to learn the relationship

Machine learning finds relationships between inputs and outputs when its hard to build a model

Natural Language

Processing (NLP)

Video and Image Analytics

Text AnalyticsMachine Learning

Cognitive Landscape

4

Machine Learning

Natural Language

Text Analytics

Video/Image/Audio

Streaming Studio

5

How are we applying cognitive techniques?

Think Medical Diagnosis!

Standard ComparisonPeer Comparison Self ComparisonAnalysis performance

data from other machines in

peer group

Analysis

data based on manufacture’s

standard

Analysis

historical data of self to

determine health

Instrumented InterconnectedIntelligent

Cognitive Analytics give a deeper , clearer

insight to “age old” problems

Different Corrosion Models

Creating adaptive super models

7

“generic” “specific”

Trained from fully

characterized pipes

Trained from

whatever data is available

RM

SE

[m

m/y

ea

r]

8

Data Signature Example

Anomaly Detection

Supply Chain

Process Optimisation

• Thank You