Enabling Maintenance in a Net-centric Environment
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1 Enabling Maintenance in a Net-centric Environment An Enterprise View Mr. Joseph Schmidley V-22 Joint Program Office/Automated Logistics Environment (ALE) Lead 2011 Department of Defense Maintenance Symposium & Exhibition 15 November 2011 Approved for Public Release
2 CAMEO The Net-Centric Environment Solution for V-22 2 Comprehensive Automated Maintenance Environment-Optimized (CAMEO) V-22 Automated Logistics Environment (ALE) and Conditioned Based Maintenance Plus (CBM+) solution Joint-service system application (USN, USMC, USAF) Open-source, non-proprietary Approved/Certified on DoD IT infrastructures (NMCI, SDC, IT-21) Ground station applications for Integrated Vehicle Health Management (IVHM) Integrated with an Interactive Electronic Technical Manual (IETM) Scaled for a wide array of users o Organizational, Intermediate, Depot levels of maintenance o Engineering communities o Program Office and Organizational Equipment Managers (OEMs)
3 3 V-22 CAMEO Overview Government Owned Non-proprietary solution Facilitates cost-effective implementation across DoD weapon systems An active collaboration between multiple weapon system programs Adaptable Emphasizes common requirements yet retains flexibility to address program-unique needs Adheres to NESI guidelines Architecture normalized as open-source, thinclient, web service Warfighter Effective Readiness and cost focused Increased emphasis on CBM+ implementation Diagnostic/prognostic tools Structured and unstructured data mining and warehouse capabilities
4 Asset Visibility & Data Accessibility CAMEO is being utilized at all V-22 sites Essential to entire maintenance process Data extraction and post-flight debrief analysis capabilities BIT review, trending, troubleshooting & analysis Dynamic Component & engine vibration/usage monitoring, trending, & analysis Facilitates swift failure management via IETM integration Automated correlation of Fault Code to Fault Isolation (FI) tasks Illustrated Parts Breakdown (IPB) linking Enables rapid decision support through automated interfaces Maintenance Information Systems (MIS) Data warehouse Engineering Command CAMEO facilitates continuous integration & automation of operational, maintenance, and logistical processes to improve aircraft readiness and reduce sustainment costs for the war fighting community. 4
5 Emphasis on Data-To-Decision (D2D) 5 Collecting and leveraging mass amounts of data between organizations from multiple sources to provide wide-access availability of information and knowledge to multiple stakeholders in a logical manner Automated Statistical Data Mining Identifying trends or differences rapidly with large volumes of structured and unstructured data Focusing efforts of analysts and maintainers to review only data of potential interest Automated Reports/Metrics/Ad-hoc data queries Automating routine queries and facilitating new data query activities to reduce data handling requirements of a wide variety of data consumers Advanced Analytics Applying forecasting, simulation, predictive modeling, optimization techniques for improving platform readiness Data Fusion/Visualization Integration of multiple data sources to provide a holistic view in a clear and concise manner based upon the various user disciplines
6 6 The D2D Continuum Collect Connect Warehouse Analyze Action/ Decision ENABLING INFRASTRUCTURE Data Collection Reactive Maintenance Time Based Inspection/Overhaul DATA MINING/KNOWLEDGE MANAGEMENT Knowledge Development Fault Diagnosis Remaining Useful Life Calculation Inspection Targeting INFORMATION CAPITAL Decision Support Toolsets Prognostics Proactive Maintenance On-Condition Inspection/Overhaul
7 Ongoing efforts to improve RTB capabilities available to the V-22 maintainer Preliminary Results Rotor Track and Balance Tool Latest release of CAMEO provides improvements in the following areas: RTB calculations User Interface RTB printing Additional improvements in work for next two software releases (2 nd Qtr 2012) 419 Episodes Evaluated Before Runs per Episode, 39.5 MMHR per Episode 41 Episodes Evaluated After Runs per Episode, 25.6 MMHR per Episode Beyond 2011: Episodes/Year Forward 306 RTB FCFs avoided per year 1893 RTB MMHR avoided per year
8 Preliminary Results Fatigue Life Expended (FLE)/Parts Life Viewing (PLV) FLE Tracking via SAFE A/C data used to build regular SAFE reports 1 component currently tracked will grow to over 200 tracked Historically ~10% aircraft severely used tracking prevents life limits from being exceeded to maintain safety of flight Individual aircraft Fatigue Life Tracking via CAMEO Measures each aircraft against fatigue test article Accounts for differences in how each aircraft is flown Majority of fleet aircraft fly less severely - tracking provides an economic benefit by allowing aircraft to fly longer than design life Component life extensions reduces sustainment costs, spares posture, logistics footprint, MMH, etc 8
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