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Abstract

The behavior of all engineering systems is essentially stochastic in nature, i.e. it varies randomly with time. Consequently, it is necessary to use models and analytical techniques that reflect this stochastic behavior in order to objectively evaluate future predictions. This requires the use of probabilistic assessment; to constrain the problem into a deterministic domain is unrealistic and prevents the effect of all system parameters to be quantitatively predicted. In fact, erroneous or misleading decisions can then ensue.

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References

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© 1988 Kluwer Academic Publishers

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Billinton, R., Allan, R.N. (1988). Conclusions. In: Reliability Assessment of Large Electric Power Systems. The Kluwer International Series in Engineering and Computer Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1689-3_6

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  • DOI: https://doi.org/10.1007/978-1-4613-1689-3_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8953-1

  • Online ISBN: 978-1-4613-1689-3

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