This chapter surveys both basic quality and basic reliability concepts as an introduction to the failure analysis professional. It begins with a section describing the distinction between quality and reliability and moves on to provide an overview of the concept of experiment design along with an example. The chapter then discusses the purposes of reliability engineering and introduces four basic statistical distribution functions useful in reliability engineering, namely normal, lognormal, exponential, and Weibull. It also provides information on three fundamental acceleration models used by reliability engineers: Arrhenius, Eyring, and power law models. The chapter concludes with information on failure rates and mechanisms and the two techniques for uncovering reliability issues, namely burn-in and outlier screening.
Christopher L. Henderson, Reliability and Quality Basics for Failure Analysts, Microelectronics Failure Analysis: Desk Reference, 7th ed., Edited By Tejinder Gandhi, ASM International, 2019, p 666–672, https://doi.org/10.31399/asm.tb.mfadr7.t91110666
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