1

Championing Open Architectures for ISHM

PRESENTED TO:

CBM+ IPT 10 May 2006OS-JTF

PRESENTED BY:

Bob WalterHead, Applied Enterprise Systems Department814-863-8876RLW9@psu.edu

Tim BairApplied Enterprise Systems Department814-865-7700TDB14@psu.edu

2

University-AffiliatedResearch Center (UARC)

VIRGINIA CLASS

Assist the DOD in identifying, prototyping and valuation of emerging technologies… and aid in their development and implementation.

Work as a trusted agent.

Mission summary: ResearchTechnology TransferEducation

3

ARL Full-Time Equivalent Years of Effort

Systems Engineering OrientationBasic Research thru Demonstration to Full-Scale Implementation Project Management of Cross-disciplinary, Multi-performer Teams

Characteristics and Size

ARL Part of Penn State Research FY 04-05 [$492M]

$154M GFY’04

4

ARL LocationsARL Locations

APPLIED RESEARCH LABORATORY BUILDINGAPPLIED RESEARCH LABORATORY BUILDING

APPLIED SCIENCE BUILDINGAPPLIED SCIENCE BUILDING

NAVIGATION RESEARCH & DEVELOPMENT CENTERNAVIGATION RESEARCH & DEVELOPMENT CENTER ARL CATO PARKARL CATO PARK

GARFIELD THOMAS WATER TUNNELGARFIELD THOMAS WATER TUNNEL

ELECTRO-OPTICS SCIENCE & TECHNOLOGY CENTERELECTRO-OPTICS SCIENCE & TECHNOLOGY CENTER

Keyport Naval FacilityKeyport, Wa.

Distributed Engineering CenterPenn State Fayette Campus

Washington Office

Washington, DC

ARL HawaiiPearl Harbor, Hi.

Electro-Optics CenterKittanning, Pa.

ARL Penn StateState College, Pa.

Navigation Research & Development CenterWarminster, Pa.

5

OrganizationOrganization

6

Applied Enterprise SystemsDepartment

Applied Enterprise SystemsDepartment

Bob Walter, Applied Enterprise Systems Department Head, 814-863-8876, rlw9@psu.edu

Demonstrate how to leverage asset health information throughout the enterprise

Develop new business processes incorporating asset health

Develop new enterprise integration techniques

Transition results to defense, space and industry

Champion open standards

Demonstrate how to leverage asset health information throughout the enterprise

Develop new business processes incorporating asset health

Develop new enterprise integration techniques

Transition results to defense, space and industry

Champion open standards

7

Relevant ProjectsRelevant Projects

2002 2003 2004 2005 2006

USMC Autonomic Logistics

2001

Business Case Analysis, Sense & Respond Development- ONR I (’02), II, III, IV, V (‘06)

Army Telemaintenance

Army VMEP User Display

USMC EFV Prognostics

Army HEMTT Advanced Diagnostics

Army CLOE

Army FCS Log. Int. Studies

USMC Light Armored Vehicle Diagnostics

BMADS MRRS

GCSS-MC RFID Op Concept Demo

MCSC Integrated Digital Environment

CACE for MAGTF

USMC Knowledge Base

CACE Development and Demonstration

Develop Open, CBM, Diagnostic and Prognostics Standards

Army EBL

USMC DO Exp

HBCT ISHM Arch

8

5 Question Quiz5 Question Quiz

1. What DOD programs are investing in ISHM and CBM?

2. What technologies are cutting across those programs?

3. Is there value to building common ISHM and CBM architectures?

4. What are the enablers for building a common ISHM and CBM architecture?

5. How do we get there?

9

Condition Monitoring - Build on Open Standards

Condition Monitoring - Build on Open Standards

1. ISO-13374: Condition Monitoring and Diagnostics of Machines

– Part 1 released– Part 2 in final draft, expect release in August 2006

2. MIMOSA OSA-CBM: Open System Architecture for Condition-Based Maintenance

– Substantial enhancements in v3.1, May 2006– Harmonized with OSA-EAI in 2005

3. MIMOSA OSA-EAI: Open System Architecture for Enterprise Application Integration

– Added to DISR 06.01 in March 2006 as a mandated standard– Data structures (CRIS Complete Object Model)– XML message schemas (Tech-XML)– Bulk data exchange (Tech-Compound Document Exchange (CDE))

10

Time Line forCondition Monitoring Standards

Time Line forCondition Monitoring Standards

2000 2001 2002 2003 2004 2005 2006 2007 2008

2 year –OSA-CBM DUST Program(Funded by ONR)

- Boeing- Rockwell- Caterpillar- MIMOSA

- Newport News- Penn State /ARL- RLW- Oceana Sensors

Developed Training Material and Examples- Penn State ARL, Boeing, Rockwell

DevelopedOSA-EAI Tech-CDE- MIMSOA/ Penn State ARL

Harmonized the OSA-CBMand OSA-EAI Data Models- Boeing/MIMSOA

MIMOSA releasesOSA-CBM Ver. 3.1(May/June 2006)

ISO 13374-1Standard Approved

Develop JointOSA-CBM Demo

Add OSA-CBMto DISR

Added OSA-EAI to DISR(March 2006)

DOD includesOSA-CBM

in Acq Req’s

11

Factory, Depot,Space, Air, Ground, Surface and UnderseaSystems

Factory, Depot,Space, Air, Ground, Surface and UnderseaSystems

Leveraging Asset Health Information throughout the Enterprise

Leveraging Asset Health Information throughout the Enterprise

FewTransactions

Many, ManyTransactions

Command and Control

Systems

Command and Control

Systems

EnterpriseAsset

ManagementSystems

EnterpriseAsset

ManagementSystems

Condition-basedOperationalAdvisories

Condition-basedMaintenanceAdvisories

Operations Scheduling and Forecasting

Operations Scheduling and Forecasting

Commander’s Intentand Metrics

Commander’s Intentand Metrics

Law andGuidance

Law andGuidance

Condition, Reliability, and Work Archive

Condition, Reliability, and Work Archive

Hig

h C

on

fid

en

ce

an

d H

igh

Fid

eli

ty

PMIDEsand

SMEs

6. Advisory Generation

5. Prognostic Assessment

4. Health Assessment

3. State Detection

2. Data Manipulation(on or off platform)

1. Data Acquisition

12

ISO-13374 OverviewISO-13374 Overview

• ISO-13374: Condition Monitoring and Diagnostics of Machines– Part 1 “General Guidelines– Part 2 “Data Processing”– Part 3 “Communication– Part 4 “Presentation”

• “The various computer software systems written for condition monitoring and diagnostics (CM&D) of machines that are currently in use cannot easily exchange data or operate in a plug-and-play fashion without an extensive integration effort. This makes it difficult to integrate systems and provide a unified view of the condition of machinery to users. The intent of ISO-13374 Parts 1 through 4 is to provide the basic requirements for an open CM&D software architectures which will allow CM&D information to be processed, communicated and displayed by various software packages without platform-specific or hardware specific protocols.”

• Prepared by Technical Committee ISO/TC 108, Mechanical vibration and shock, Subcommittee SC 5, Condition monitoring and diagnostics of machines

• States that MIMOSA OSA-CBM is a compliant specification

Released

Final Draft

13

DataAcquisition

DataAcquisition

DataManipulation

DataManipulation

StateDetection

StateDetection

HealthAssessment

HealthAssessment

PrognosticsAssessment

PrognosticsAssessment

AdvisoryGeneration

AdvisoryGeneration

DataAcquisition

DataAcquisition

DataManipulation

DataManipulation

DataAcquisition

DataAcquisition

Componentor LRU

Componentor LRU

Componentor LRU

Componentor LRU

Componentor LRU

Componentor LRU

Digitized data with timestamp and data quality

Descriptor data with timestamp and data quality

Current enumerated state indicator, threshold boundary alerts, and statistical analysis data with timestamp and data quality

Health grade, diagnosed faults and failures, recommendations, evidence and explanation

Future health grade, future failures, recommendations, evidence and explanation

Operations and maintenance advisories, capability forecast assessments, recommendations, evidence, and explanation

…

…

…

…

…

…

Archive

Archive

Archive

Archive

Archive

Archive

ISO-13374-2 (Draft)Condition Monitoring and Diagnostics of Machines

ISO-13374-2 (Draft)Condition Monitoring and Diagnostics of Machines

14

ISO-13374-2 IDEF0 (draft)ISO-13374-2 IDEF0 (draft)

A1

Data Acquisition

A3

State Detection

A2

Data Manipulation

A4

Health Assessment

A6

Advisory Generation

A5

Prognostic Assessment

A7

Archive Data

AG Data

PA Data

HA Data

SD Data

DM Data

DA Data

Analog Data

Digital Data

Manual Data

DRAFT IDEF0 representation of

ISO/TC 108/SC 5DRAFT International Standard ISO/DIS 13374-2

Condition monitoring and diagnostics of machines – Data processing, communications and presentationPart 2: Data-processing

DA

Co

ntr

olT

rigg

ers

DA

Syn

chro

niza

tion

Sig

nal

s

DA

Co

nfig

ura

tion

DM

Co

nfig

ura

tion

SD

Co

nfig

ura

tion

HA

Co

nfig

ura

tion

HA

Ope

ratio

na

l Dat

a

SD

Ope

ratio

na

l Dat

a

PA

Op

era

tion

al D

ata

PA

Co

nfig

ura

tion

AG

Op

era

tion a

l Da

ta

AG

Ex t

ern

al C

ons t

rain

ts

AG

Co n

figu

ratio

n

Digitized data with timestamp and data quality

Descriptor data with timestamp and data quality

Current enumerated state indicator, thrshold boundary alerts, and statistical analysis data

with timestamp and data quality

Health grade, diagnosed faults and failures, recommendations, evidence, and

explanation

Future health grade, future failures, remaining life, recommendations, evidence,

and explanation

O&M advisories, capability forecast assessments, recommendations, evidence,

and explanation

DM measurement location data, DM algorithm parameters, etc.

Load, etc. from external systems

SD location/component/system data, SD algorithm parameters, etc.

Load, etc. from external systems

HA Agent data, HA component/system data, HA algorithm parameters, etc.

Projected future load, etc. from external systems

PA Agent data, PA component/system data, PA algorithm parameters, etc.

Projected load and operational goals from external systems

Safety, environmental, budgetary, etc. from external systems

AG agent data, AG component/system data, AG algorithm parameters, etc.

NODE: NO.: v2Top TITLE: ISO 13374-2 DRAFT

DA measurement location data, DA parameters, etc.

For multichannel simultaneous data acquisition

For operating state notification

21 February 2006Bob WalterPenn State ARL

MIMOSA OSA-EAI Tech-XML or Tech-CDE

MIMOSA OSA-EAI Tech-XML or Tech-CDE

15

Various ways to implementISO-13374-2 in an ISHM Architecture

Various ways to implementISO-13374-2 in an ISHM Architecture

AG Advisory GenerationPA Prognostic AssessmentHA Health AssessmentSD State DetectionDM Data ManipulationDA Data Acquisition

DM

DA

HA

SD

PA

AG

Components

Subsystems

System orPlatform

Subsystems

ComponentsComponentsComponents

DM

DA

HA

SD

PA

AG

Components

Subsystems

System orPlatform

Subsystems

ComponentsComponentsComponents

Or

DM

DA

HA

SD

PA

AG

Components

Subsystems

Vendors’ Analysis

MaintenanceAid

ComponentsComponentsComponents

Or

16

OSA-CBM OverviewOSA-CBM Overview

MIMOSA OSA-CBM does the following:

• Implements ISO-13374

• Specifically defines the functions for all six levels

– Data– Configuration– Explanation

• Defines communications interfaces

• Does not define processing, functions and algorithms within the 6 level. Vendors do that and they can remain proprietary.

Status:

• Is harmonized with MIMOSA OSA-EAI

• Is managed by the MIMOSA standards body.

• Is available now to MIMOSA members

• Target is public release summer ‘06

17

OSA-CBMImplementation Choices

OSA-CBMImplementation Choices

• OSA-CBM works in any programming language that supports remote procedure calls

• Examples:– CORBA (Common Object Request Broker

Architecture– DCOM (Distributed Component Object Model) /

ActiveX– Microsoft .NET Framework– Web Services/SOAP (Simple Object Access Protocol)– JRMI (Java Remote Method Invocation)– REST (Representational State Transfer)

18

OSA-CBM InterfacesOSA-CBM Interfaces

1. Synchronous

ServerClient

2. Asynchronous

ServerClient

Client

3. Service 4. Subscription

ServerClient

Data returned through function call Data returned in separate return call

Client only accepts data (for example, a database for archiving data)

Client subscribes to data, which Server sends regularly or on alert

19

OtherConsumers

OSA-EAITech-XML

Web Service(s)

OSA-CBMWeb Service

Implementing MIMOSA Standardsfor Integrated System Health Monitoring (ISHM)

in a Services Oriented Architecture (SOA)

Implementing MIMOSA Standardsfor Integrated System Health Monitoring (ISHM)

in a Services Oriented Architecture (SOA)

DataAcquisition

DataAcquisition

DataManipulation

DataManipulation

StateDetection

StateDetection

HealthAssessment

HealthAssessment

PrognosticsAssessment

PrognosticsAssessment

AdvisoryGeneration

AdvisoryGeneration

Sensor on Component

or LRU

Sensor on Component

or LRU

OSA-CBMWeb Service

OSA-CBMWeb Service

OSA-CBMWeb Service

OSA-CBMWeb Service

OSA-CBMWeb Service

OSA-EAIArchive

OSA-EAITech-CDEOther examples:

Portable Maintenance AidsMobile Field Service ToolsInteractive Electronic Technical ManualsElectronic Maintenance Support Systems

OSA-EAITech-XML

Web Service(s)

OtherConsumers

OSA-EAITech-CDE

OSA-EAITech-XML

OSA-CBMXML

Failure Histories

Geo-Spatial Tracking

Component Tracking

Model Database

OEM Model

Reliability InfoRCM

Analysis Info

Root Cause

Analysis Info

Spare Part

Analysis Info

MRO Tools

MRO Labor

MRO Materials

Work Order Tracking

Pre-Planned Work Packages

Reactive Main-

tenancePreventive

Main-tenance

Condition-Based Maint-enance

Calibration & Config.

Mgmt

Open Object

Registry Management

OSA-EAITech-CDE

Web Service

20

OSA-CBM Demonstration ConfigurationOSA-CBM Demonstration Configuration

DataAcquisition

DataAcquisition

* DataManipulation

* DataManipulation

* HealthAssessment

* HealthAssessment

* PrognosticsAssessment

* PrognosticsAssessment

Battery DataBattery Data

OSA-CBMWeb Service

OSA-CBMWeb Service

OSA-CBMWeb Service

OSA-CBMWeb Service

OSA-EAIArchive

OSA-EAITech-CDE

Web Service(Java)

OSA-EAITech-CDE

OSA-CBMWeb Service

DataAcquisition

DataAcquisition

DataManipulation

DataManipulation

* HealthAssessment

* HealthAssessment

* AdvisoryGeneration

* AdvisoryGeneration

Diesel EngineData

Diesel EngineData

OSA-CBMWeb Service

OSA-CBMWeb Service

DataAcquisition

DataAcquisition

DataManipulation

DataManipulation

StateDetection

StateDetection

HealthAssessment

HealthAssessment

* PrognosticsAssessment

* PrognosticsAssessment

GearboxVibration data

GearboxVibration data

OSA-CBMWeb Service

OSA-CBMWeb Service

OSA-CBMWeb Service

OSA-CBMWeb Service

OSA-CBMWeb Service

* PrognosticsAssessment

* PrognosticsAssessment

OSA-CBMWeb Service

OSA-EAITech-CDE

Web Service(.Net)

* We have not yet implemented code to process data in these layers.

DataAcquisition

DataAcquisition

Battery DataBattery Data

OSA-CBMWeb Service

21

Net Centric Design TenetsNet Centric Design Tenets

I. DataA. Implement DoD Net-Centric Data StrategyB. Make data visibleC. Make data accessibleD. Make data understandableE. Make data trustableF. Make data interoperableG. Provide Data ManagementH. Be Responsive to User Needs

II. ServicesA. Service-Oriented ArchitectureB. Open ArchitectureC. ScalabilityD. AvailabilityE. Accommodate heterogeneityF. Decentralized operations and managementG. Enterprise Service Management

III. Information Assurance/SecurityA. DoD Net-Centric IA StrategyB. Net Centric IA Posture and Continuity of OperationsC. Identify Management, Authentication and PrivilegesD. Mediate Security AssertionsE. Cross Security Domains ExchangeF. Encryption and HAIPEG. Employment of Wireless Technologies

IV. TransportA. IPv6B. Packet Switched InfrastructureC. Layering, ModularityD. Transport GoalE. Network ConnectivityF. The Concurrent Transport of information FlowsG. Differentiated Management of Quality-of-ServiceH. Inter-Network ConnectivityI. Technical ArchitectureJ. RF AcquisitionK. Joint Net-Centric CapabilitiesL. Operations and Management of Transport

and Services

Addressed Not Addressed

22

Net Centric AttributesNet Centric AttributesTitle Description Metric Source

Internet Protocol (IP) Data packets routed across network, not switched via dedicated circuits

IP as the Convergence LayerNet-Centric Operations and Warfare Reference Model (NCOW RM), Technical View compliant with DISR

NCOW RM, GIG Arch v2, IPv6 Memos (9 Jun 03 and 29 Sep 03),

Secure and available communications

Encrypted initially for core network; goal is edge-to-edge encryption and hardened against denial of service

Black Transport LayerTransformational Communications Architecture (TCA) compliance; Technical View compliant with DISR

TCA;IA Component of Assured GIG Architecture;

Only handle information once (OHIO)

Data posted by authoritative sources and visible, available, usable to accelerate decision making

Reuse of existing data repositories Community of interest policy (TBD)

Post in parallel Business process owners make their data available on the net as soon as it is created

Data tagged and posted before processingNCOW RM,Technical View compliant with DISR

NCOW RM, DoD Net-Centric Data Strategy (May 9, ‘03)

Smart pull (vice smart push)

Applications encourage discovery; users can pull data directly from the net or use value-added discovery services

Data stored in public space and advertised (tagged) for discoveryNCOW RM,Technical View compliant with DISR

NCOW RM; DoD Net-Centric Data Strategy (May 9, ‘03);

Data centric Data separate from applications; apps talk to each other by posting data

Metadata registered in DoD Metadata RegistryNCOW RM,Technical View compliant with DISR

NCOW RM; DoD Net-Centric Data Strategy (9 May 03);

Application diversity Users can pull multiple apps to access same data or choose same app (e.g., for collaboration)

Apps posted to net and tagged for discoveryNCOW RM, Technical View compliant with DISR

NCOW RM;

Assured Sharing Trusted accessibility to net resources (data, services, apps, people, collaborative environment, etc.)

Access assured for authorized users; denied for unauthorized users

Security/IA policy Nov 21, ’03);IA Component of Assured GIG Architecture;

Quality of service Data timeliness, accuracy, completeness, integrity, and ease of use

Net-ready key performance parameter Service level agreements (TBD);

DDMS

23

Gearbox – Data Manipulation – ConfigurationGearbox – Data Manipulation – Configuration

24

Gearbox – Data Manipulation - DataGearbox – Data Manipulation - Data

25

Gearbox – Data Manipulation - StatisticsGearbox – Data Manipulation - Statistics

26

Information Types: DataInformation Types: Data

Data is ‘DataEvent’ class information that is sent to the user from an OSA-CBM layer. (A ‘DataEvent’ contains the data for a data generation event.)

The ‘DataEvent’ class has a child hierarchy below it associated with the layers in the OSA-CBM architecture (i.e. DADataEvent, DMDataEvent, etc…). These classes have child classes below them that describe particular data types (e.g. vectors, waveforms, enumerations, health information, etc…) that can be provided to the user.

27

Information Types: ConfigurationInformation Types: Configuration

Configuration information contains four principal child classes:

• ‘InportModuleSet’ provides information about where a layer gets data from.

• ‘Algorithm’ describes the process used to generate a ‘DataEvent’.

• ‘OutPortSet’ lists every ‘OutPort’. An “out port” is a data channel and the ‘OutPort’ class gives specific configuration data for that channel.

• ‘SupportingData’ gives additional information about MIMOSA MIMKey or primary key references used elsewhere in the architecture.

28

Information Types: ExplanationInformation Types: Explanation

Explanation information consists of four possible forms:

• The first is simply the data used for a calculation.

• The second is a handle / timestamp type of reference to the data used. The main example is data stored in a database.

• Third, is a set of direct pointers to the modules supplying the data.

• Fourth, is a “stringified” form of a pointer that will allow the user to construct a pointer to the module.

29

OSA-EAI OverviewOSA-EAI Overview

• MIMOSA OSA-EAI is compliant with ISO-13374 parts 1 and 2

• Facilitates the integration of asset management and CM&D information throughout multi-site enterprises

• All OSA-EAI products are built from a common object model representing the CM&D domain

30

Machinery Information Management Open Standards Alliance (MIMOSA)

MIMOSA OSA-EAI OverviewMIMOSA OSA-EAI Overview

Failure Histories

Geo-Spatial Tracking

Component Tracking

Model Database

OEM Model

Reliability InfoRCM

Analysis Info

Root Cause

Analysis Info

Spare Part

Analysis Info

MRO Tools

MRO Labor

MRO Materials

Work Order Tracking

Pre-Planned Work Packages

Reactive Main-

tenancePreventive

Main-tenance

Condition-Based Maint-enance

Calibration & Config.

Mgmt

Open Object

Registry Management

MIMOSA Technology TypesREG (Physical Asset Register Management) WORK (O&M Agent Work Management)DIAG (Diagnostics / Prognostics / Health Assessment)TREND (Operational Scalar Data & Alarms)DYN (Dynamic Vibration/Sound Data & Alarms)SAMPLE (Oil/Fluid/Gas/Solid Test Data & Alarms)BLOB (Binary Data/Thermography Data & Alarms)REL (RCM/FMECA/Model Reliability Information)TRACK (Physical Asset GeoSpatial Tracking Info.)V3.2 ALGORITHM (Algorithm Management Information)V3.2 AGENT (Intelligent Agent Management Information)V3.2 FORECAST (Capability Forecasting & Projections)

MIMOSA database schemas and XML message schemas are all derived from a common object model CCOM.

31

Making the ISHM Archive InformationAccessible to All Consumers

using OSA-EAI Tech-CDE v3.1

Making the ISHM Archive InformationAccessible to All Consumers

using OSA-EAI Tech-CDE v3.1

PlatformData Store

Platform Data Store

PlatformData Store

Platform Data Store

PlatformData Store

Platform Data Store

LocalArchive

Local Archive

Regional

OSA-EAIArchive

BCTMaintenance

Managers

Net CentricCompliant

Web Service

GlobalOSA-EAI

Archive

3rd PartyAnalysis

Net CentricCompliant

Web Service

DepotAnalysis

Net Centric Attributes

Only handle information once

Tag and post before processing

Store publicly and advertise

Register metadata

Tag applications for discovery

PlatformData Store

Platform Data Store

PlatformData Store

Platform Data Store

PlatformData Store

Platform Data Store

LocalArchive

LocalArchive

Regional

OSA-EAIArchive

RegionalAnalysis

Net CentricCompliant

Service

OEMAnalysis

Database Flat file or XML

Database Flat file or XML

LifeCycle

Managers

OSA-EAITech-CDE

Browser ClientBrowser Client

Browser Client

MIMOSA OSA-EAI Technology Types [Tech-]REG (Physical Asset Register Management) WORK (O&M Agent Work Management)DIAG (Diagnostics / Prognostics / Health Assessment)TREND (Operational Scalar Data & Alarms)DYN (Dynamic Vibration/Sound Data & Alarms)SAMPLE (Oil/Fluid/Gas/Solid Test Data & Alarms)BLOB (Binary Data/Thermography Data & Alarms)REL (RCM/FMECA/Model Reliability Information)TRACK (Physical Asset GeoSpatial Tracking Info.)ALGORITHM (Algorithm Management Information)AGENT (Intelligent Agent Management Information)FORECAST (Capability Forecasting & Projections)

OSA-EAITech-CDE

OSA-EAITech-CDE

OSA-EAITech-CDE

32

Browser Client(schema driven design)Browser Client(schema driven design)

33

Server

JavaServlet

Messaging Standard Updates are Much Simpler to Implement!

Messaging Standard Updates are Much Simpler to Implement!

Java Web-Service

OSA-EAIArchive

XSL(Transform)

External SystemA

OSA-EAITech-CDE

MessageSchema (XSD)

MessageSchema (XSD)

Message StdSchema (XSD)

External Systemn

OSA-EAITech-CDE

Java Script

Message StdSchema (XSD)

UI ConfigSchemasUI ConfigSchemasUI ConfigXML Files

Replace the schema files here

Update the UI configuration XML files here

Update the database schema

No source code changes required!

Satisfies Net Centric design tenets.

Uses AJAX methodology.

Browser Client

FilterTree

Data Relationships

34

Factory, Depot,Space, Air, Ground, Surface and UnderseaSystems

Factory, Depot,Space, Air, Ground, Surface and UnderseaSystems

Leveraging asset health information throughout the enterprise using open standards.

Leveraging asset health information throughout the enterprise using open standards.

FewTransactions

Many, ManyTransactions

Command and Control

Systems

Command and Control

Systems

EnterpriseAsset

ManagementSystems

EnterpriseAsset

ManagementSystems

Condition-basedOperationalAdvisories

Condition-basedMaintenanceAdvisories

Operations Scheduling and Forecasting

Operations Scheduling and Forecasting

Commander’s Intentand Metrics

Commander’s Intentand Metrics

Law andGuidance

Law andGuidance

Condition, Reliability, and Work Archive

(MIMOSAOSA-EAI)

Condition, Reliability, and Work Archive

(MIMOSAOSA-EAI)

Hig

h C

on

fid

en

ce

an

d H

igh

Fid

eli

ty

PMIDEs

6. Advisory Generation

5. Prognostic Assessment

4. Health Assessment

3. State Detection

2. Data Manipulation(on or off platform)

1. Data Acquisition

(ISO-13374 and MIMOSA OSA-CBM)

(OSA-EAITech-XML)

(OSA-EAITech-CDE)

(OSA-EAI Tech-CDE)

(OSA-EAI Tech-CDE)

(OSA-EAITech-XML)

35

Army Integrated LogisticsArchitecture (AILA) V1.1 OV-5

(a good example of an evolving solution)

Army Integrated LogisticsArchitecture (AILA) V1.1 OV-5

(a good example of an evolving solution)

36

5 Question Quiz(revisited)

5 Question Quiz(revisited)

1. What DOD programs are investing in ISHM and CBM?

2. What technologies are cutting across those programs?

3. Is there value to building common ISHM and CBM architectures?

4. What are the enablers for building a common ISHM and CBM architecture?

5. How do we get there?

37

Conceptual OSA-CBM ProgramConceptual OSA-CBM Program

2006 2007 2008

Build industry partnership

Build Joint / cross platform demo

Industry refines the standard

DOD includes OSA-CBM in acq req’s

DOD is convinced of benefit

Vendors and system integrators have early OSA-CBM compliant products

Identify a DOD champion

CY

DOD adds OSA-CBM to the DISR

PSU/ARL provides independent expertise and trusted agent oversight

38

The Applied Research LaboratoryThe Pennsylvania State University

The Applied Research LaboratoryThe Pennsylvania State University

Mr. Robert Walter Col Timothy Bair, USAF (ret)rlw9@psu.edu tdb14@psu.edu(814) 863-8876 (814) 865-7700

ARL Penn StateP.O. Box 30

State College, PA 16804-0030

Mr. Robert Walter Col Timothy Bair, USAF (ret)rlw9@psu.edu tdb14@psu.edu(814) 863-8876 (814) 865-7700

ARL Penn StateP.O. Box 30

State College, PA 16804-0030