BULETINUL INSTITUTULUI POLITEHNIC DIN IAŞI
buletinul institutului politehnic din iaşi - Universitatea Tehnică ...
buletinul institutului politehnic din iaşi - Universitatea Tehnică ...
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26 GheorgheNegru<br />
i) costs for penalization regarding the downtime (operational losses,<br />
impact on quality, impact on security and environment).<br />
ii) costs for corrective maintenance:<br />
iii) manpower: direct costs related with the manpower in the event of an<br />
unplanned action;<br />
iv) materials and replacement parts: direct costs related to the consumable<br />
parts and the replacements used in the event of an unplanned action.<br />
In the technical literature (Adolfo, 2007) are presented three basic models<br />
related to the non- reliability cost within the life cycle cost analysis (LCCA):<br />
constant failures rate, deterministic failures rate and Weibull distribution<br />
failures rate. These models include in their evaluation processes the<br />
quantification of the impact that could cause the diverse failure events in the<br />
total costs of a operational asset.<br />
In the followings will be presented the Weibull distribution failure rate<br />
model and its application to the case of the specialized wheeled vehicle systems.<br />
2. Weibull Distribution Failure Rate Model<br />
In terms of cost analysis structure, this model will estimate the nonreliability<br />
cost with failure frequencies calculated from a Weibull distribution<br />
function.<br />
The model proposes the following sequential flow:<br />
1. Identify, for each alternative to evaluate, the main types of failures.<br />
This way for certain equipment there will be f=1… F failure modes.<br />
2. Determine, for each failure mode, the “times to failure” (operational<br />
times). This information will be gathered, based on failure records, databases<br />
and/or experience of the maintenance and operations.<br />
3. Calculate the cost of failures C f (in monetary units/failure). These costs<br />
include replacement of parts, manpower, production loss penalization and<br />
operational impact costs.<br />
4. Determine the frequency of expected failures δ f using the Weibull<br />
distribution function.<br />
Will be used the following notations in Table 1<br />
Variable<br />
ζ<br />
tf<br />
MTBF<br />
Γ<br />
α<br />
β<br />
Table 1<br />
Significance<br />
Frequency of failures<br />
Time between failures<br />
Mean time between failures (inverse of the frequency)<br />
Gamma function<br />
Characteristic life<br />
Shape parameter