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Grid-based on-line aeroengine diagnostics. Jim Austin, University of York. Aims. To build a distributed, Grid based, diagnostic maintenance system To prove the technology on a Rolls Royce Aeroengine diagnostic maintenance problem Demonstrate the process of building a Grid based system

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jim austin university of york

Grid-based on-line

aeroengine diagnostics

Jim Austin, University of York

slide2
Aims
  • To build a distributed, Grid based, diagnostic maintenance system
  • To prove the technology on a Rolls Royce Aeroengine diagnostic maintenance problem
  • Demonstrate the process of building a Grid based system
  • To deliver grid-enabled technologies that underpin the application
the application
The Application
  • The support of engine diagnostics on a global scale.
slide4

Engine flight data

London Airport

Airline office

New York Airport

Grid

Maintenance Centre

American data center

European data center

slide5

Engine data

log

AURA

data search

Outline architecture

Aircraft

Engine

Quote

Systems

Diagnostic

operator

Maintenance operator

Engine data

Database of

Operational

data

Operational Report

Model-based

Interpretation

Case-based

Reasoning

Decision-support

slide6

Example use case

Perform

Extended

Analysis

<<extend>>

Diagnosis /

Local Environment

Prognosis

<<include

Decision

<<extend>>

Support

Perform

Status /

<<extend>>

Data

Engine

Analysis

Parameters

Pattern Match

Modeller

Update

Provide Domain

Update Local

Expert

Diagnostics

Assessment

Operation

Domain

Inform Domain

Expert /

Expert of

Diagnosis

Maintenance

Undetected Problem

Planner

Assessment

Results

Reports

Store Result of

Diagnosis and

Provide

Resu

lts

Operation

Statistics

Report

Maintenance

Team

challenges
Challenges
  • Support on-line diagnostics in real time
  • Deal with the data from 100,000 engines in operation
  • Prove pattern matching methodology
  • Prove the business case for the technology
technologies
Technologies
  • AURA: High performance search technology
  • QUOTE: On-engine diagnostics system
  • Globus: Grid software
  • WR Grid: Demonstrator hardware
slide9
AURA
  • High performance ‘search engine’
  • Based on neural networks
  • Develop for distributed operation
quote
QUOTE
  • On-engine health assessment
  • Under trials on Trent 500 now
  • Will identify novelty
  • Some diagnostics
slide12

White Rose

Computational Infrastructure

Oxford

Leeds Cluster

Leeds Shared

Memory

Super

Janet

White Rose Computational Grid

Sheffield

Distributed Memory

York Shared

Memory

industry collaborators
Industry Collaborators
  • DS&S : Rolls Royce data services providers
  • Rolls Royce : Data and problem
  • WRCG: Esteem, Sun and Streamline: Demonstrator Grid
  • Cybula: AURA technology support
academic team
Academic team
  • Austin – project management, data management
  • Tarassenko, Austin – algorithms for fault identification
  • Dew, Djemame – system architecture
  • Fleming, Thompson – decision support
  • McKay – data modeling
academic team1
Academic Team
  • McDermid – Dependability
  • Wellings – Real time issues

Researchers - 15, including...

  • Tom Jackson - Coordinator
  • Martyn Fletcher - Software Manager