Product Maturity 1. Franck Bayle. Читать онлайн. Newlib. NEWLIB.NET

Автор: Franck Bayle
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Техническая литература
Год издания: 0
isbn: 9781119902225
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Ea is the activation energy. Kb is the Boltzmann constant.

      At the product level, maintenance may be referred to as “preventive”. This is the case with cars, for example, where engine oil, various filters, etc., are changed on a regular basis without any failures having been observed. More generally, there is “minimal” maintenance at the product level, as replacing the defective component effectively restores the reliability of the product to the level it had before the failure.

      Therefore, maintenance has an important effect on product reliability, as illustrated by the following figure.

A photograph of a car that has not been maintained.

      For further details on the effect of maintenance on reliability and its (rather difficult) modeling, the reader is invited to refer to Rigdon and Basu (2000), Gaudoin and Ledoux (2007) and Bayle (2019).

      For most industrial applications, the objective of reliability is MTBF. There is much confusion surrounding this acronym; indeed, MTBF may signify:

       – Mean time before failures:

       – Mean time between failures:

      This refers to the mean time between two consecutive failures. If there are two failures, this means there was a maintenance action, as illustrated in the following figure.

Schematic illustration of the MTBF mean time between failures. Schematic illustration of the MTBF mean time between failures.

      Figure 1.6. MTBF (mean time between failures). For a color version of this figure, see www.iste.co.uk/bayle/maturity1.zip

      When there are maintenance actions, the concept of failure rate has no meaning after the first failure. Hence, time between failures (TBF) and time to repair (TTR) are used. MTBF is therefore defined here by:

      [1.9]image

      Moreover, if the product is mature (no youth or aging failure), then image.

      According to these hypotheses, equation [1.8] can be written as:

      [1.10]image

      This equation is often found in the literature but is only numerically true under certain hypotheses (exponential distribution), which must be verified.

      Product specifications always include a reliability objective. There are two main industrial applications:

       – The first is less common, requiring a probability of success. This probability, which is a function of the product use time, is therefore generally provided after the product becomes operational. The unilateral lower bound of this probability is generally used as the reliability objective. This is due to the fact that it applies to one or several products for which operational failure is to be excluded (e.g. Ariane rockets or certain military weapons).

       – The second covers all other applications (avionics, motor vehicles, rail, etc.) where the mean number of failures is examined. This is the well-known MTBF.

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