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Statistical Quality Control & Reliability Tests

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Reliability Engineering

Abstract

Statistical quality control and reliability tests are performed to estimate or demonstrate quality and reliability characteristics on the basis of data collected from sampling tests. Estimation leads to a point or interval estimate (marked with " in this book), demonstration is a test of a given hypothesis on the unknown characteristic. Estimation and demonstration of an unknown probability is investigated in Section 7.1 for the case of a defective probability p and in Section 7.2.1 for some reliability figures. Procedures for availability estimation and demonstration for the case of continuous operation are given in Section 7.2.2. Estimation and demonstration of a constant failure rate A (or MTBF for the case MTBF =1/ A) are discussed in depth in Sections 7.2.3. The case of an MTTR is considered in Section 7.3. Basic models for accelerated tests are discussed in Section 7.4. Goodness-of-fit tests based on graphical and analytical procedures are summarized in Section 7.5. Some considerations on general reliability data analysis, with test on nonhomogeneous Poisson processes and trend tests, are given in Section 7.6. Models for reliability growth are introduced in Section 7.7. To simplify the notation, sample is used for randomsample and the indices S, referring to system, is omitted in this chapter (MTBF instead of MTBFso and Aor PA instead of As or PAs). Theoretical foundations for this chapter are in Appendix A8. Selected examples illustrate the practical aspects.

*Ingénieur et penseur, Ph.D., Professor Emeritus of Reliability Eng. at the Swiss Federal Institute of Technology (ETH), Zurich

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  1. Centro Storico - Bargello, I-50122, Firenze, Tuscany, Italy

    Prof. Dr. Alessandro Birolini*

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Birolini*, A. (2010). Statistical Quality Control & Reliability Tests. In: Reliability Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14952-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-14952-8_7

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