LCS

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LCS CBM Program Implementation
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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

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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

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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

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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

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Continuous Reliability Management
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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

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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

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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

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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 HME system
  reliability analysis results
• Links to applicable Navy and ISP systems to
  automate data sharing and continuous process
  validation (metrics) and improvement

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LCS Machinery Condition Reliability Displays
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LCS Machinery Condition Reliability Displays
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The Reliability Engineering Based CBM

• Web enabled application to facilitate distance
  support
• Extensive HME 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

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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