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Challenges to Achieving Reliability from Data

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LRCM the methodology to achieve reliability from data

Union Gas Initial

RCM plans

Achieving reliability from data

Challenges

Continuous RCM

Knowledge Updates

Assure WO data of analytic

quality

Reliability at failure mode

level

Reliability Analysis / Decision modeling

Integrating rebuild shops

Continuous Improvement Process

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Starting point …. Union Gas Initial RCM plan

• Building Maintenance Strategies through RCM• Reporting success of the RCM project

DEMO DASHBOARDS

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Continuous RCM knowledge updates

Failure Modes Occurred

16 “Anticipated” failure modes

??How will Union Gas incorporate instances of new failure modes?

• RCM Analysis should be dynamic• MESH Feedback system provides the functionally to update the RCM

knowledge base

DEMO MESH

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Assure WO data of analytic quality

• Selecting instances of failure modes from drop down list might be imprecise• Selecting instances of failure modes and their (ending) event types from

RCM hierarchy capture RA enabling (predictive) data

SAP Catalogs

RCM Failure Modes

DEMO MESH

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Integrating rebuild shops

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Reliability Analysis at failure mode level

• Selecting failure modes correctly improves the analysis capability

DEMO DASHBOARDS

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Reliability Analysis / Decision modeling

RULE

StdDev

Date

Fleet Failure mode (Model name)u

Cumul. Instances FFs or PFs

Shape param. β

StdDev

% Avail, Cost, Profit

1/1/2011

UMD Charger fails

1 7 3 0

1/1/2012

UMD Charger fails

2 4 2 15

1/1/2014

UMD Charger fails

4 3 0.5 30

• Calculating Remaining useful life estimate for critical failure modes• Monitoring EAM work order data base quality

Decision Models:

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¿How to do it?

RCM Hierarchy

• Synchronize CMMS with RCM hierarchy