DAME: A Distributed Diagnostics
Environment for Maintenance
Duncan Russell
University of Leeds
Project Partners
• EPSRC Funded, 3 years, £3.2 million. Ends Dec ‘04
• 4 Universities:
– University of Leeds, School of Computing and School of
Mechanical Engineering
– University of Oxford, Dept of Engineering Science
– University of Sheffield, Dept of Automatic Control and
Systems Engineering
– University of York, Dept of Computer Science
• Industrial Partners:
– Rolls-Royce
– Data Systems and Solutions
– Cybula Ltd
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
Operational Scenario
Engine flight data
London Airport
Airline
office
New York Airport
Grid
Diagnostics Centre
Maintenance Centre
American data center
European data center
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
DAME Grid Challenges
•
•
•
Building a demonstration system to demonstrate proof of concept
for Grid technology in the aerospace diagnostic domain
Two primary Grid challenges:
– Management of large, distributed and heterogeneous data
repositories
– Remote, secure access to diagnostics tools, flight data and
other operational data
Other key issues:
– Rapid data mining and analysis of fault data
• York AURA technology is critical component for data
mining activity
– Management of distributed users and resources
– 24/7 operation – QoS issues
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
DAME Architectural Overview
DAME Diagnostics
Portal
Modelling/
Simulation
Grid Services Management
Case Based
Reasoning
...
Decision
Support
QUOTE
Novel
Data
The Grid
100111011011
Vibration
Shaft Speed
Fuel Flow
Software
AURA
Hardware
AURA
Cluster
AURA
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
Parts
Data
Operational
Data
AURA
Service
Data
Aura-G
Raw
Engine
Data
Matches
WRG Distribution
Sheffield
York
Modeling & Decision Support
Data Mining Services
EngineModel-G
AURA-G
GT3 Service
Zmod data
search facility
Zmod Viewer
GT3 Service
Browser based data
viewer for zmod files
DAME GUI
GT3 Service
Browser based GUI
to DAME services
DataStore-G
GT3 Service
Simulates arrival &
storage of QUOTE
data
AURA-G
Database
GT3 Service
BD25 Engine
model wrapped
as Grid Service
WRG
GT3/2
CBRAnalysis-G
GT3 Service
CBR advisor
SDM
Database
Collaboration tools
GT3 Service
Toolset for multiuser
collaboration
WRG
GT3/2
DAME
workbench
Leeds
Grid Middleware Services
WRG
GT3/2
Oxford
Engine Data Store
Engine Data
Database
Workflow
WRG
GT3/2
DAME WRG
Sign-on Portal
Security
GT3 Security
Service
ProxyManagement
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
Browser based
workflow tool.
Compliant with
Resource Broker
DataVisualiser
GT3 Service
Jchart Viewer for
viewing XTO output
XTO-G
GT3 Service
XTO plug-ins via a Grid
Service
Resource Broker
GT2 Service
Schedule workflow
tasks on WRG
resource
Complex Virtual Organisation
Engine
Manufacturer
(RR)
Airline / Maintenance Contractor
(at Airport)
Information / request for advice
Dowload
Engine
Data
Investigate using tools
Perform
Minor Repair
Local
Diagnosis
Domain Expert (DE)
- engine expert
Remote / Distributed
Tools and Services
Upload
Engine
Data
Ground
Support
System
Update Engine Records
Distributed Aircraft
Maintenance Environment (DAME)
- Miscellaneous Providers.
DAME
Diagnosis
Engine Data Center (EDC) - DS&S
Service Data Manager (SDM) - RR
Request advice
from MA
Maintenance
Engineer (ME)
Provide
Diagnosis
/ Prognosis
/ Advice
Investigate using
tools
Update Engine
Record
Remove engine and
dispatch for major overhaul
Request advice
from DE
Return overhauled
engine to service
Information / request
for advice
Provide
Diagnosis
/ Prognosis
/ Advice
Update Engine
Record
Update Engine
Records
Maintenance Analyst (MA)
- maintenance expert
Data Center
(DS&S)
Engine Maintenance
Repair and Overhaul
(MRO) Facility
(RR / Contractor)
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
Specifying Workflow
Workflow instances are specified through UML
sequence diagrams.
AURA-G and CBR-G Grid Services
can be directly accessed by the
M aintenance Analyst as necesary
- without using the
RunDetailedDiagnosisPrognoisis
workflow
Parmeters may be provided
by the M aintenance Analyst
to tune the operation.
The W orkflowManager-G
The CBRW orkflowAdvisorG
The AURA-G
The M aintenance Analyst
RunDetailedDiagnosisPrognosisW orkflow()
AdviseOnW orkFlow()
Search()
SearchForMatchingCaseAndRankResults()
Detailed Diagnosis / Prognosis Result
This is an interchangeable
sub workflow.
Also the M aintenance Analyst
will be able to select the
parameters used in these calls
from the W orkflow Manager.
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
Specifying Workflow
Business workflows as Activity Diagrams
Airp ort
DS&S
Main te na nce
En gi ne er
Rolls Royce
Maintenance
Analys t (Fleet
Manager)
Dom ain
Expert
Airc ra ft Lan ds
Vis ua l
Ins pection
Quote
Diagnos is
DAME Brief
D iag nos is
Check
Diagnos es
[ unknown ]
[ diagnos is ]
Analys is
[ fault unres olved ]
[ Clear ]
[ known ]
Provide
Info rm a tio n
Reques t
Inform ation
[ inform ation required ]
[ unk nown ]
Detailed
Analys is
[ diagnos is ]
Mai nte na nc e
Pr oced ur e
[ info rm atio n r equired ]
Pr ovid e Furth er
Details
Releas e Engine
[ fault res olved ]
Sign-off
Diagnos is
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
Reques t Further
Details
Workflow Requirements
• Diagnostic Workflows
– Automatic; initiated by novel event being detected
– Manual; launched by engineer through diagnosis
workbench
• Manage provenance data for diagnosis ‘cases’
• Management of secure services
– Role management
– Certificate handling
• Business Workflows
– Job Assignment and Tracking
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
Workflow System
• Components for the workflow system have
been identified:
– Workflow Manager; runs workflow instantiations
– Workflow Generator; creates and manages
workflows
– Workflow Advisor; advisory system providing domain
knowledge on how to deploy workflows
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
DAME Services & Workflow
Architecture
EngineDataStore-G
QUOTE / GSS
+constructor()
+Initialise()
+StoreDataRecord()
+RetrieveDataRecord()
+Copy()
XTO-G
WorkflowManager-G
Maintenance Engineer
Decision
Support Portal
CollaborativeWorkingEnvironment
+View()
+Control()
+constructor()
+Initialise()
+RunBriefDiagnosisPrognosisWorkflow()
+RunDetailedDiagnosisPrognosisWorkflow()
+RunDetailedAnalysisWorkflow()
+InstallNewWorkflow()
+DeleteExistingWorkflow()
+RunAndDebugWorkflow()
+RenameWorkflow()
+ReplaceExistingWorkflow()
+Copy()
+RunPerformClusterSearch()
+constructor()
+Initialise()
+XTO()
+JChart()
+Copy()
+InstallNewAlgorithm()
+RunAndDebugAlgorithm()
AURA-G
+constructor()
+Initialise()
+Store()
+Remove()
+Search()
Workflow
Subsystem
SDM-G
+SDMSource()
+getEventData()
+getEventItem()
+getEventAircraft()
+getEventEngine()
+getEventFromSerialDate()
DataBaseMiner-G
WorkflowGenerator-G
Maintenance Analyst
+constructor()
+Initialise()
+CreateNewWorkflow()
+EditExistingWorkflow()
+AddWorkflowElement()
+EditWorkflowElement()
+SaveWorkflow()
+GetWorkflow()
+Copy()
XTOOutputDataVisualiser-G
+constructor()
+Initialise()
+Visualise()
+Copy()
CBRWorkflowAdvisor-G
Domain Expert
+constructor()
+Initialise()
+AdviseOnWorkFlow()
+StoreNewCaseInCBRCasebase()
+UpdateExistingCaseInCBRCasebase()
+Copy()
CBRAnalysis-G
EngineModel-G
+constructor()
+Initialise()
+ModelEnginePerformance()
+Copy()
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
+constructor()
+Initialise()
+SearchForMatchingCaseAndRankResults()
+StoreNewCaseInCBRCasebase()
+UpdateExistingCaseInCBRCasebase()
+Copy()
Current Progress
• Workflow Manager has been implemented
– Workflows captured as Java classes
– Workflow enactment via apache server hosted at
the DAME portal
– Workflow Manager handles secure authorisation
through management of X509 certificates
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
Workflow Implementation
Browser
Portal
Role
Database
MyProxy
Server
Event
Generator
Engine
Data Store
Workflow
Credential
Workflow
Manager
SDM to
XTO
XTO
Aura-G
CBR
Broker
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
Engine
Model
Workflow Implementation
StoreEngi neData( )
: Ground Support
System
: Engi neDataStore
: Port al
NewEngi neData(param s)
GetEngineData( )
: Mai ntenance
Engineer
: EventAgent
getResul ts(workfl owId)
runWorkfl ow(exi stingConnecti on, workflowNam e, param s)
getStatus(workflowId)
: Mai ntenance
Analy st
notifyChange(WorkflowId, param s)
runWorkflow (workflo wNam e, rol e, param s)
noti fy(workfl owId)
: Portal Co nnecti on
getStatus(workfl owId)
getResults(workflowId)
: Workli st
: Workfl owM anager
getResul ts(workfl owId)
getStatus(workflowId)
runWorkfl ow(workfl owNam e, rol e, param s)
: Dom ain Expert
propert yC hange(propertyChangeEvent )
getStatus( )
getResults( )
XT OJob :
Xto
createWorkflow(workflowNam e, rol e, cred, param s)
attachWork(newW ork)
Resource
Broker
: WorkflowFactory
: WorkflowBri efDi agnosis
setId(workfl owId)
setRol e(rol e)
execute( )
execute( )
Workfl ow System
Boundary
: RunCBR
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds
Future Work
• Workflow Generator
–
–
–
–
Dynamic Workflow Generation
Means to edit/adapt workflows
Means to visualise workflows
Would like to adopt existing e-Science technology
• Development of Workflow Advisor
– Case Based Reasoning system
– Uses workflow provenance to build diagnosis case histories
and capture domain knowledge
• Richer Security models
– Authorisation across computing domains
– Finer grain definition of role and access rights.
– Dynamic control of virtual organisations
Duncan Russell, Informatics Research Institute, School of Computing, University of Leeds