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Statistical Quality Control and Reliability Tests

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Reliability Engineering

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Abstract

Statistical quality control and reliability tests are performed to estimate or demonstrate quality and reliability characteristics (figures) on the basis of data collected from sampling tests. Estimation leads to a point or interval estimate of an unknown characteristic, demonstration is a test of a given hypothesis on the unknown characteristic in an acceptance test. Estimation and demonstration of an unknown probability is investigated in Section 7.1 for the case of a defective probability p and applied in Section 7.2.1 to reliability, maintainability, and availability figures. Estimation and demonstration of a constant failure rate λ (or MTBF = 1/λ) and of an MTTR are discussed in depth in Sections 7.2.2 and 7.3. Basic models for accelerated tests and for goodness-of-fit tests are considered in Sections 7.4 and 7.5, respectively. To simplify the notation, the term sample will be used instead of random sample. Theoretical foundations for this chapter are given in Appendix A8. Empirical and graphical methods are considered in Section 7.5 and Appendices A8.1 and A9.8.

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Authors and Affiliations

  1. ETH Zurich, Via Generoso 5, 6900, Lugano, Switzerland

    Prof. Dr. Alessandro Birolini (emerit. o. Prof.)

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  1. Prof. Dr. Alessandro Birolini
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© 1999 Springer-Verlag Berlin Heidelberg

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Birolini, A. (1999). Statistical Quality Control and Reliability Tests. In: Reliability Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03792-8_7

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  • DOI: https://doi.org/10.1007/978-3-662-03792-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-03794-2

  • Online ISBN: 978-3-662-03792-8

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