1. CBM + Program Implementation
LCS
CBM + Program Implementation

2. 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

3. 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

4. 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

5. 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

6. Continuous Reliability Management

7. 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

8. 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

9. 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

11. 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

12. LCS Machinery Condition & Reliability Displays12

13. LCS Machinery Condition & Reliability Displays13

14. 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

15. 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