CBM + Program Implementation LCS CBM + Program Implementation

The LCS Ship design Objectives High level of ship mission availability while performing any one of the three reconfigurable mission capabilities: Anti Submarine Warfare Mine Warfare Surface Warfare Aggressive Total Ownership Cost (TOC) LCS crew of 40 will be approximately 33% the size of that found aboard comparably sized vessels

Critical Requirements to Address LCS Sustainment Challenges Failure Prevention During Mission Periods Continuous equipment condition and system risk visibility Early detection of machinery condition and predicted risk change Failure Risk prediction accounting for planned operating tempo Advance Planning & Scheduling of Pre-Planned Work to be Performed During In-Port Periods Define what (specific work action) needs to be done with at least an 80% confidence factor Define when ( which availability or period of convenience) the work needs to be done Define why (equipment risk to mission) the scope needs to be done Limited Ship-board Operators and Maintainers Failure prevention and reaction during mission periods OPNAV Newly Defined LCS Specific Metrics Materiel Reliability Materiel Availability Mean Down Time TOC 3

LCS Sustainment Initiative: Reliability Engineering Based CBM + The required engineering and information infrastructure to allow execution of LCS Sustainment CONOPS within a unit level Reliability Engineering Based CBM + Process that will also: Conform to the published CBM + Policies and the SURFOR CBM Top Level Requirements Take advantage of Programs of Record developments related to next generation ICAS and MELS Take advantage of available GOTS and COTS technologies supporting the implementation of CBM + Take advantage of the Distance Support infrastructure

LCS CBM + Approach: Machinery Reliability Management Systems (MRMS) MRMS is an integration of Navy program of record and COTS technology in order to: Continuously acquire machinery operating and event data Continuously assess the current condition of critical equipment Estimate the probability of future failure risk, when operated within a planned operating profile Provide the machinery current condition, predicted failure risk probability, to the LCS Reliability Engineer for maintenance decision management support Receive conditions found and work accomplished information related to the recommended maintenance action to validate risk models Compute Sustainment Process Metrics relative to the selected critical ship-board systems

Continuous Reliability Management

Phase 1 Remote Monitoring & Risk Prediction SYSTEMS SSDG MPDE GTM Reduction & Combining Gears Lube Oil & Line Shaft Bearings Water Jets AC Plants MPACs Machinery Condition and Predicted Reliability Assessment for 8 systems Current Health Predicted failure risk (30/60/90/180 days) Remote monitoring capability (shore side) through DS connectivity between on-board data acquisition and data filtering (DQE) and the Navy Maintenance Engineering Library Server (MELS) Establishment of the CLSRN N4R, Reliability Engineer, position to implement and manage the CBM Process for LCS sustainment 7 7 7 7

Phase 2: Ship-Board Reliability Management Shipboard views of shore-side Phase 1 implemented MRMS screens (same 8 systems) Operational recommendations to minimize equipment degradation Machinery alignment recommendations O-Level maintenance recommendations Operating range recommendations Onboard application – “What-if” Calculation Engine Calculates predicted future machinery failure risk based on current health, planned maintenance and mission operating profile Provides for evaluation of speculative changes to operational profile (environment, speed, load, line-up) as it might affect system reliability 8 8 8 8

Concept of Operation Material Readiness Assessment Equipment failure mode conditions will be assessed using available data transmitted through Distance Support Overall equipment current health (readiness) assessed as a roll-up of failure mode conditions Failure Risk Forecasting Equipment failure mode predicted risk (residual useful life) will be assessed using current health, historical performance and duty cycle data and forecasted for 30/60/90/120 day span Mission Risk Assessment Based on the predicted failure mode risk levels at the prescribed time span, an assessment against Mission Risk will be estimated for the applicable systems

Phase 3: Reliability Engineering Data Integration System (REDI) Using Enterprise Service Bus Provides framework to automate the Sustainment Process Work-Flow to improve process effectiveness and reduce cost within manning constraints Support feedback loop to validate/update diagnostics and risk prediction algorithms through information from conditions found and maintenance actions taken Predictive risk based logistics model for effective advance planning, using HM&E system reliability analysis results Links to applicable Navy and ISP systems to automate data sharing and continuous process validation (metrics) and improvement 11 11 11 11

LCS Machinery Condition & Reliability Displays 12

LCS Machinery Condition & Reliability Displays 13

The Reliability Engineering Based CBM + Web enabled application to facilitate distance support Extensive HM&E data collection Allows for a shift from periodically scheduled Preventive Maintenance (PM), ICMP, and failure based Corrective Maintenance to a maintenance strategy based on predicted machinery failure risk Reduces the dependence on shipboard manpower and will support achieving the LCS design objectives of: Increased equipment readiness through a higher systems availability gained by more effective availability planning prior to mission operating periods Reduced cost of O-Level and shore side on-shelf spares and maintenance tasks since a better awareness of equipment health at all times allows for very effective logistic planning

CBM + Value to the Fleet Will provide the decision management support for execution of effective LCS life cycle sustainment Will provide the means to establish more accurate budget forecasts Ship operators will achieve: Reduced dependence on shipboard manpower through more effective utilization of Distance Support Operator awareness of impending equipment risks to prevent cascading and collateral failures Increased equipment readiness gained by more effective availability planning prior to mission operating periods