RELCODE
Weibull Reliability and Replacement
Decisions. Version 9.04. Windows 98 or later For Everyone
Involved with Maintenance, Reliability or Replacement of Machinery or Vehicle
Components Then
click on print from your browsers menus.
Reliability,
Replacement and Inspection Frequency Analysis System
Succeed
by Understanding Failure
The failure of components can follow several patterns.
Burn-in failures
occur early in life and usually are the result of manufacture or installation
defects.
Random failures
are not related to age but usually to an external cause, like a stone through
a windscreen.
Wearout occurs
later in life, for example, the wear of a tyre tread
Identifying the pattern
of failure is often the key to understanding the root cause of failure and to
selecting the most appropriate maintenance policy.
RELCODE uses statistical
analysis to identify the failure pattern (or patterns) of your data and to convert
this into useful management information.
User Manual: RELCODE
comes with an extensive Users Manual which helps you to present and analyse
your data and to interpret the results at both management and technical levels.
Reliability
Analysis at the Leading Edge
RELCODE incorporates the latest techniques in reliability data analysis, including:
Weibull Analysis. This
is the original method for statistical analysis of reliability data. RELCODE
carries out traditional Weibull analysis, generates probability plots and
derives Weibull parameters.
Going beyond the basic
Weibull plot, six different distribution models are fitted and a preferred
model is automatically recommended, using advanced analytical methods.
Graphical output includes
a plot of reliability against age on straightforward linear scales.
The MTBF and the onset
of wearout can be identified in components which initially have burn-in or
random failures, leading to support for Reliability Centered Maintenance through
the calculation of preventive replacement intervals and inspection intervals.
Author: RELCODE is
designed by Dr. Nick Hastings, formerly Professor of Maintenance Engineering
at Queensland University of Technology.
Database
RELCODE holds your data in a Microsoft Access* database.
This provides simple data
entry, storage, retrieval, updating and transfer from other applications.
Reporting
Send output to printer, file or clipboard at the click of a button, for simple
transfer of graphs and tables to your documents. *trademark of
Microsoft
RELCODE
the Answer to Modern Reliability Data Analysis.... Plots
your reliability data against age on linear scales. This shows the relationship
between reliability and age in a straight-forward and undistorted way.
(Weibull plot also included)
Onset
of Wearout
A key question in maintenance decisions is, "Does this component wear
out, and if so, when?". RELCODE's advanced multiple failure mode model
can identify the onset of wearout.
Component
Replacement Decisions
RELCODE calculates the best preventive replacement intervals using published
statistical techniques widely accepted by reliability and maintenance
engineers. Sensitivity to cost data or policy variations is quickly analysed.
Spare
Parts Requirements
RELCODE provides estimates of spare parts requirements for both age and
block replacement policies.
Computer
Information
I. §supplied on CD-ROM. II. §for use under Windows 95 or better, including
NT. III. §requires 32 bit processor, e.g. Pentium IV. §uses about 10 megabytes
of hard disk, plus space for your data. V. §includes Guided Tour document
and 150 page user manual giving details of all methods used, and worked
examples. VI. down-loadable demo on www.oliver-group.com
Reliability,
Replacement and Inspection Frequency Analysis System
