reliability maintenance engineering 1 - 4 estimating reliability

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Reliability Maintenance Engineering Day 1 session 4 Estimating Reliability Three day live course focused on reliability engineering for maintenance programs. Introductory material and discussion ranging from basic tools and techniques for data analysis to considerations when building or improving a program.

TRANSCRIPT

Reliability Engineering

Fred Schenkelbergfms@fmsreliability.com

USING FIELD AND TEST DATA TO ESTIMATE RELIABILITY

Day 1 Session 4

Objectives

• Discussing reliability data types• Considering complete and censored data• Analyzing trend plotting, 80-20 plots and

statistical plots• Drawing a best-fit regression line with Weibull• Recording data related to reliability

performance• Providing continuity in data collection systems

Reliability Data Types

• CMMS data

• Process data

• Life data

• Time to Failure data

Reliability Data Types

• Pass/Fail data• Attribute data

• Time or cycles to failure• Variables data

• Start and stop definitions

Reliability Data Types

• Complete data– All units have failed

• Censored data– Right censored – not all

have failed yet– Left censored – not sure

when some started– Interval censored – not

sure when failure occurred between inspections.

Reliability Data Types

• Non-repairable data

All start at time zero

Reliability Data Types

• repairable data

All start at time zero

Discussion & Questions

Trend Plotting

Advantages• Easy

• Visual

• Actual data

Disadvantages• Difficult to see changes

• Lagging indicator

• May require adjustments for scheduled downtime

80 – 20 or Pareto plotting

Advantages• Easy

• Visual

• Prioritization build in

Disadvantages• Difficult to see changes over

time

• Doesn’t include costs impact

Coun

t or F

requ

ency

Life Data CDF

Advantages• Accounts for all data

• Visual

• Easy to read

Disadvantages• Difficult to see changes

• Requires probability paper or software

• Requires time to failure data

CDF – Cumulative Distribution Function -

MCF plotting

Advantages• Very Easy to create

• Easy to see patterns

Disadvantages• Difficult to summarize

• Requires more than two failures/repairs per equipment

• Doesn’t account for scheduled downtime or extended repairs

MCF – Mean Cumulative Function

Wayne Nelson, Graphical Analysis of Repair Data

Discussion & Questions

Weibull Plotting with Weibull++

• Data preparation• Basic algorithm• Censored data handing

• For more details• www.weibul.com

Reading a Weibull CDF Plot

MCF plotting

• Data Preparation• Basic algorithm

• For more information• Trindade paper, book,

Nelsons paper, book

Reading an MCF plot

Discussion & Questions

Plot labeling

• Title• Data source• Data timeframe

• Axis labels and units

Report Data

• Regular reports

• Project reports

• Analysis reports

• Recommendation reports

Comparisons over time

• Break up data by time– Before/after change– Before/after experiment– Before/after overhaul

• Labels• Show magnitude of

impact clearly, if any.

Data collection over time

• Vendor data• Installation• Maintenance• Decommissioning

Discussion & Questions

Summary

• Discussing reliability data types

• Considering complete and censored data

• Analyzing trend plotting, 80-20 plots and statistical plots

• Drawing a best-fit regression line with Weibull

• Recording data related to reliability performance

• Providing continuity in data collection systems

Using field and test data to estimate reliability

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