Transcript Life-Cycle Benefits of Model

Life-Cycle Benefits of
Model-Based Integrated
Health Management
eXpress Users Group Meeting
14 Sep 2012
Samuel Johnson
Northrop Grumman Aerospace Systems
Life Cycle Logistics & Support
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
IHM Operational Elements
(for purposes of this presentation IHM = PHM = ISHM = IVHM)
Vehicle IHM
System
Fault Management,
Reporting & Recording
Provides:
• AV-Level Info Management
• Reliable FDIR
Subsystem
• Prognostics / Trends
Control &
• Supports ALE
Health Mgmt
Ground IHM
System
Operator Interface / Mission Control
Safety Critical
Mission Critical
Diagnostic Data
Propulsion
MC Displays &
Controls & Control
Display Unit (CDU)
Data
Terminal
.
Avionics
In-Flight
Maintenance
Data Link
Vehicle
HM
Thermal Control
Automated PreFlight Checkout
Support System
Airframe
Enabling Technologies
• Diagnostics & Prognostics
• Cross-Subsystem FDIR
• Model-Based Development &
Testability Analysis
• Fault Signature Detection
Fault
Codes
Portable Maintenance
Device (PMD)
Flight
Data
Recorder
Maintenance Panel
• Automated Operator /
Maintainer Debrief
• Off-Board
Prognostics
– Trending
– Life Cycle Mgmt
• Store / Distribute
Diagnostic Database
Fault / Service Info
Maintainer
Vehicle Interface
IETMs
Consumables
On-Board Diagnostics
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
DB
Objective of Model-Based Diagnostic Design Analysis -
Support “Design for Maintainability” While Reducing Costs
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Use Model-Based Testability Analysis Tools to Assess Fault Coverage vs. Reqmts
Reduce Replication in Related FMECA and Testability Analysis Efforts
Support IETM Generation and Informed Maintenance Activities
Enable Effective Discrepancy Analysis and Design Updates During Sustainment
Reduce Time Required to Develop Variants of Baseline Vehicle Design
Architect for Growth
Design for Supportability
Improve Maintenance & Sustainment
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
Model-Based System Design and Life
Cycle Logistics Loop
• Inner “Sustainment Triangle
(Loop)” is Executed Many
Times Within a Typical
Product’s Life Cycle
• Shared System Model
Facilitates Timely Life
Cycle Support, Block
Upgrades, & Configuration
Management
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
Common Modeling Tools & Databases
Facilitate Design Adaptation and Re-Use
System
Analysis &
Optimization
Identify areas in which
system is not
performing as predicted
or required; determine
root causes, and take
corrective actions.
OPERATION & EVALUATION
System
Model
Model-Based Design and Analysis Tools
Integrated Health Management Design, Analysis, and Other
Model-Based Systems Engineering Tools and Processes
Model-Based Development Tools Provide a Single, Configuration-Managed,
Up-to-Date Source for Design Information – Facilitating Model Re-Use and
knowledge capturing
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
Current Design Analysis Methods Repeat
Similar Thought Processes for Related Products
Current Process
(Simplified View)
Replicated Thought Processes and “Filtered” Information Flow
Safety
Engineer
FMECA
Report
System RE
Hazards
Analysis
Reliability
Engineer
R&M
Metrics
System RE
MTTR, Ao
Predicts
Test
Engineer
System RE
Testability
Analysis
Reports
Test
Plans
Tech Pubs System RE
Engineer
TroubleShooting
Procedures
IETMs
Model-Based Diagnostic Design & Analysis Provides an Opportunity
to Reduce Replication of Effort When Deriving Related Products
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
Model-Based Process Reduces
Duplication of Effort and Simplifies Analysis
Model-Based Process
R&M Metrics
System
System RE
Modeler
(RM&S IPT)
FMECA
Report
Updates
Functional
Dependencies,
Failure Modes,
and Test Points
Model
Testability
Analysis
Reports
TroubleShooting
Procedures
Logistics
Simulations
MTTR, Ao ETOS,
Predictions
IETM
Inputs
NGAS Analysis Predicts > 60% Reduction in Testability Analysis Costs Over System Life-Cycle
By Investing in the Development of Diagnostic Models for Systems, One
Can Transition to a More Timely and Cost-Effective Automated Testability
Analysis and Report Generation Process
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
Key Model Characteristics for
Health Management Applications
For our purposes a model must support the representation of:
• Physical Features or Properties of Components
– Static/Fixed Part (e.g., the number and type of I/O ports)
• Functional, Operational, Behavioral Description of Components
– Dynamic/Procedural/Executable Part (e.g., the function performed)
• Connectivity between Components
– Functional Dependencies and Fault Propagation Paths
• A Graphic Depiction of the Model That Simplifies Understanding
– Enables Efficient Model Input, Explanation, and Human Interaction
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
That’s What I’m Talkin’ About!
(DSI’s FAMOUS Braking System)
Model-Based Diagnostic & Prognostic
Design & Analysis Tools Selection Criteria
Here are some of the key tool and supplier criteria that we considered in
making our decision to go with eXpress:
•Testability Analysis / Fault Coverage Analysis
• FMECA (Failure Modes, Effects, & Criticality Analysis) Import/Export
• Design Analysis & Engineering Trade-Study Data
• Interoperability / Data Exchange with Other Tools
• User-Interface Features / Ease-of-Use
• Diagnostic & Prognostic Performance Simulation
• Software Performance Characteristics
• Real-Time Diagnostic Software Generation and Support
• Interactive Maintenance Support (for End-Users/Maintenance Personnel)
• Technology and Integration Readiness Levels
• Company Status & History
• Real-World Applications
• Software Licensing Options / Terms & Conditions
• Software Training, Documentation & Customer Support
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
Additional Benefits of Model-Based
Design and Analysis
• Provides Design Insights for Improving Fault Coverage
 Example: Landing Gear Fault Isolation Improvement
– Fault Isolation to Single Unit: 23% Improvement after BIT Change
– False Removal% (STAGE): 21% Improvement after BIT Change
• Reduces Time and Cost for FMECA Report Updates
• Accelerates Tech Pubs Fault Isolation Manual Development
• Supports Model-Based Maintenance Training and Execution
• Aids in Test Plan Development & Execution
• Provides Diagnostic Design Knowledge Capture
• Enables Model Re-Use for System Upgrades and Variants
• Facilitates Diagnostic Model Configuration Management
• Informs System Analysis & Optimization (SA&O)
• Generates Cumulative ROI over Entire Product Life-Cycle
ROI and Business Case Development for Application of Model-Based
Tools and Processes to Other Life-Cycle Phases is In Progress
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
Managing Complexity in Aerospace
Through Model-Based Systems Engineering
Aerospace Programs Require More Than 5 Times Longer to Perform Comparable
Development & Sustainment Tasks as the Auto & Electronics Industries
DARPA Study Results
Where
We Are
Application of Modern ModelBased Systems Engineering,
Development, Integration, and
Testing, Methods
Where
We Need
to Be
Key Reasons for ”The Gap”:
1. Inconsistent Aerospace Application of Model-Based Systems Engineering Tools & Processes
2. Differences in Aerospace Systems Acquisition and Regulatory Environment and Time-Frame
3. Lack of Integrated Model-Based Design, Analysis, Production, and/or Operations Tools
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
Model-Based System Design Enables
Performance-Based Logistics Improvements
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
Model-Based System Development
and Sustainment Loop
STAKEHOLDER INTERESTS &
REQUIREMENT DRIVERS
PROGNOSTIC APPLICATIONS
Cost/Benefit Models
Actual vs
Predicted
Performance
Flight Ops Models
Ground Ops Models
Performance
Metrics
Logistics Models
determine root causes,
and take corrective
actions.
System Level
Reqt Model
Logical Models
Functional Models
Design Rules
Reqt Model
Logical Models
Logical Models
Logical Models
Design Rules
Design Rules
Logical Models
Logical Models
Design Rules
Design Rules
Performance Models
Logical Models
Logical Models
Logical Models
Logical Models
Functional Models
Segment Test
Element Test
Performance Models
Physical Models
IMPORT PACKAGE
DESIGN
Model-Based
Design TOOLS
and Analysis Tools
Integrated Health Management Design, Analysis, and Other
Model-Based Systems Engineering Tools and Processes
Approved for Public Release; Northrop Grumman Aerospace Systems Cases 11-0143 and 12-0642
Test Model
EXPORT PACKAGE (XMI)
Functional Models
Physical Models
Logical Models
Physical Models
System Test
Performance Models
Logical Models
Logical Models
Logical Models
Functional Models
Physical Models
Logical Models
Physical Models
Functional Models
Design Rules
TEST PLAN IMPORT / EXPORT
Functional Models
TESTING / V&V
Physical Models
Logical Models
Logical Models
Performance Models
Reqt Model
Anomaly Detection
Diagnostic Analysis
Logical Models
Physical Models
Reqt Model
Operation
Lvl 5 Test
Teams
Lvl 4 Test
DATA
Test Model
REQUIREMENTS IMPORT / EXPORT
State Identification
Test Model
REQUIREMENTS
Fault Isolation Models
Field Data
Test Model
HW/SW CI
Level
Requirement
Products
Empirically-Derived
Models
Physical Models
Performance Models
Subsystem
Level
Requirement
Products
Data Filtering
Object Oriented Design (OOD) Layer
Performance Models
Element Level
Requirement
Products
Fault Propagation
Models
Prognostic Analysis
REQUIREMENTS CM
Segment
Level
Requirement
Products
MONITORING APPLICATIONS
DIAGNOSTIC APPLICATIONS
Physics-Based
Models
OPERATIONS / LOGISTICS
Mission Models
Requirement
Products
OPERATIONS
Integrated Health Management / Operations Layer
SYSTEM ANALYSIS & OPTIMIZATION
Impact Analysis
Requirements Analysis
Engineering Trades
System Analysis
Enterprise
& Optimization
Identify areas in which
Stakeholder
system is not performing
Teams
as predicted or required;
Subsystem
Test
HW / SW CI