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ea technology

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Title: PowerPoint Presentation Author: dhb020 Last modified by: dth Created Date: 3/2/2003 5:01:45 PM Document presentation format: On-screen Show Company – PowerPoint PPT presentation

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Title: ea technology


1
ea technology
Delivering your energy solutions
2
The use of Health Indicesto determine end of
life and remnant life for distribution assets
  • D T Hughes
  • EA Technology UK

3
Condition Based Risk Management
  • Use of condition information to understand future
    performance
  • Maximise the use of existing information
  • Define additional condition assessment
  • To enable specific decisions on replacement/EOL

4
Context
  • Ageing asset population
  • Pressures to maintain/improve performance and to
    reduce costs
  • Age (by itself) is not an acceptable reason to
    replace assets
  • Must demonstrate need and consequences,
    condition and future performance
  • DPCR 4, and Ofgem ARM

5
A Health Index (To define proximity to EOL)
  • A Health Index is means of combining varied and
    relatively complex condition information as a
    single number
  • Define significant condition criteria, code
    information numerical, apply weightings and
    develop a simple algorithm to generate a HI for
    each asset.
  • Rank and apply calibration

6
Health Index
Condition
Remnant Life (years)
Probability of failure
100
At EOL (lt5 years)
Bad
High
Poor
5 - 10
Medium
Fair
10 - 20
Low
Good
gt20
Very Low
0
7
From the health index to probability of failure
and beyond
  • Defined a process to translate HI to probability
    of failure
  • Estimate future health index values based on
    degradation processes
  • Estimate future failure rates and effects of
    different intervention strategies

8
Health Index Profile for 11kV OHLs
9
Current and future failure rates
10
Summary
  • Process goes from condition information to
    probability of failure and future failure rate
  • Assumptions/approximations however everything is
    related back to physical condition, degradation
    and failure processes and actual fault rates.
  • Sanity checks and links to reality throughout
  • Provides a vital input to overall risk models
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