USAF Condition-Based Maintenance Research Environment Air Force Research Laboratory 17 June 2009.
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Transcript of USAF Condition-Based Maintenance Research Environment Air Force Research Laboratory 17 June 2009.
USAF Condition-Based Maintenance USAF Condition-Based Maintenance Research EnvironmentResearch Environment
USAF Condition-Based Maintenance USAF Condition-Based Maintenance Research EnvironmentResearch Environment
Air Force Research Laboratory
17 June 2009
Problem Statement
CBM+ Policy/Definition
AFRL CBM+ Study Re-cap
AFRL CBM+ RE Strategy
CBM+ RE 1st Gen Capability
AGENDA
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Problem StatementProblem Statement
1. AFRL RESEARCHERS NEED REAL DATA– to develop diagnostic/prognostic algorithms
– to verify performance of new capabilities in the field
– to shorten development/insertion cycle time
2. AF SUSTAINING ENGINEERING NEEDS– Collaborative engineering tools
– Improved system performance monitoring and assessment
– Proactive lifecycle weapon system management
3. AF ENTERPRISE INTEGRATION REQUIREMENTS– Linkage between platforms and logistics enterprise
– Integrated architectures defining information exchange
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Condition Based MaintenancePlus (CBM+)
• DoDD 4151.18 – Maintenance of Military Materiel – Mar 2004• AFI 63-107 – Integrated Product Support Planning and Assessment – Nov 2004• DODI 4151.22 – CBM+ Policy – Dec 2007• DoD CBM+ Guidebook – May 2008
. . . “ the application and integration of appropriate processes, technologies, and knowledge-based capabilities to improve the reliability and maintenance effectiveness of DoD systems and components.”
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Develop & Sustain
WarfightingSystems(D&SWS)
AF Transformation
Supply ChainOperations
Systems Lifecycle Integrity Management (SLIM)
CBM+ (Prognostics (RUL/SLA),
Diagnostics)
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CBM+ Capability MetricsCBM+ Capability Metrics
Advanced Diagnostics/ Basic Prognostics: estimate the probabilistic distribution of RUL for an asset type (X within one standard deviation), based on past usage and on fleet wide averages.
Predictive Prognostics: estimate the expected RUL for an individual asset (X within one standard deviation), based on past and future usages for the individual asset. Requires OEM lifing algorithms, material properties/Red Book curves.
Diagnostics/Health Assessment: Determine current health of system or subcomponents through diagnostics.
Condition Monitoring/State Detection: Compare features against expected values or operational limits. Anomaly detection.
Reduced-Order or Estimation Models
Applicability
Signal-Based Anomaly Detection
Evolutionary or Data-Driven Models
Incr
easi
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co
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lexi
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PredictivePrognostics
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The required level of capability depends upon the technical problem, the desired outcome and economics
The required level of capability depends upon the technical problem, the desired outcome and economics
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USAF CBM+ FrameworkUSAF CBM+ Framework
AFRL capabilities provide critical information which can enhance decision support, dynamic mission planning and resource optimization
AFRL capabilities provide critical information which can enhance decision support, dynamic mission planning and resource optimization
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AFRL Research
Areas
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CBM+ Operational ViewCBM+ Operational ViewLevel 1Level 1
Research
Mission Planning
Maintenance
Logistics
Integrated Systems Health Management
Data Recorders
SensorData
RemainingUseful
Life
Data Manipulation
Pre-Processing
Feature Extraction
Signal Characterization
Diagnostics/Health
AssessmentDetermine current health of system or subcomponents
PrognosticsProject future health of the system, taking into account estimates of past and future operation profiles
RUL
Continuous Process
Improvement
Inspections
Inspection Data
Feedback loops in place to allow an S&T role in continuous process improvement
FleetLevel Avionics
SystemLevel Engines Structures
Condition Monitoring/
State DetectionCompare features against expected values or operational limits
Sense
Assess
Predict
Attributes:• Federated Architecture• Standard Data Exchange• Single Point Entry and Security Verification• Supports Spiral Development of CBM+ Capabilities
Condition-Based Maintenance Plus Research Environment (CBM+ RE)
Global Combat Support System – Data Services
Engine Health Management Data
Aircraft Structures Data
OEM Data
AvionicsData
CBM+ RE
Metadata Repository
Working Storage
RESEARCHRESEARCH
ENTERPRISE INTEGRATIONENTERPRISE INTEGRATION
SYSTEMS ENGINEERINGSYSTEMS ENGINEERING
OtherCBM+Data • Access to pedigreed data
• Validate research results•Shorten development/insertion cycle time
• Support collaboration of engineering tools
• Improve system performance monitoring and assessment
• Proactive lifecycle weapon system management
• Integrated architectures define information exchange requirements
• Links platforms and logistic enterprise
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CBM+RE Resource Discovery CBM+RE Resource Discovery ApplicationApplication
• A web application providing a rich and intuitive user experience to subject matter experts for searching and displaying both static and dynamic enterprise resource links
• Built on top of the MDE Information Asset Discovery, it will leverage the vocabulary repository to drive ad hoc data discovery
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CBM+RE Engineering Model CBM+RE Engineering Model Mashup CapabilityMashup Capability
Web application that provides aggregation, transformation, and computational services over top of the data exposed by one or more sources.
It focuses on run time development,
drag-and-drop, and Subject Matter Expert empowerment.
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What CBM+RE Engineering Mashup What CBM+RE Engineering Mashup ProvidesProvides
• Aggregation and Transformation of engineering data to provide new reusable data sources
• Uploading and Execution of 3rd party algorithms• 3rd party intellectual property assurance• Testing on live data• WSDL Interrogator (Support dynamic service call)• Credential proxy for data assurance• Parallel processing• Results of analysis that can be reused across the AF
enterprise
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Benefits of CBM+RE MashupBenefits of CBM+RE Mashup
• Cost Savings potentials to DoD using Mashup services – “Fast Track Development” by shortening the software
development life cycle through “Reuse” of existing applications (services) to generate new applications (services)
• SOA and Web Service exposure standards to generate new applications (e.g., minutes with Mashup) vs. Traditional Web Application development to generate new applications (e.g., months without Mashup)
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SummarySummary
• AFRL CBM+ Study identified challenges associated with CBM+ implementation– Provided CBM+ framework and baseline enterprise
architecture– CBM+ RE designed to give systems engineers and
Weapon System Mgr access to production data for tool development and validation
• CBM+ RE is an integral part of the SLIM AFSO21 and USAF Logistics Transformation efforts
• CBM+ RE capability will be expanded on a ‘Use Case’ basis
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