Topic
Failure mode and effects analysis
About: Failure mode and effects analysis is a research topic. Over the lifetime, 7421 publications have been published within this topic receiving 105546 citations. The topic is also known as: FMEA.
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01 Jan 1996
TL;DR: In this paper, the authors present a basic reliability model for failure distribution and a constant failure rate model for time-dependent failure models, as well as a design for maintainability.
Abstract: 1 IntroductionI Basic Reliability Models2 The Failure Distribution3 Constant Failure Rate Model4 Time-Dependent Failure Models5 Reliability of Systems6 State Dependent Systems7 Physical Reliability Models8 Design for Reliability9 Maintainability10 Design for Maintainability11 AvailabilityII The Analysis of Failure Data12 Data Collection and Empirical Methods13 Reliability Testing14 Reliability Growth Testing15 Identifying Failure and Repair Distributions16 Goodness-of-Fit TestsIII Application17 Reliability Estimation and Application18 Implementation
1,469 citations
TL;DR: In this paper, failure mode and effect analysis: Failure Mode and Effect Analysis: FMEA From Theory to Execution Technometrics: Vol 38, No 1, pp 80-80
Abstract: (1996) Failure Mode and Effect Analysis: FMEA From Theory to Execution Technometrics: Vol 38, No 1, pp 80-80
1,287 citations
TL;DR: This study reviewed 75 FMEA papers published between 1992 and 2012 in the international journals and categorized them according to the approaches used to overcome the limitations of the conventional RPN method.
Abstract: Failure mode and effects analysis (FMEA) is a risk assessment tool that mitigates potential failures in systems, processes, designs or services and has been used in a wide range of industries. The conventional risk priority number (RPN) method has been criticized to have many deficiencies and various risk priority models have been proposed in the literature to enhance the performance of FMEA. However, there has been no literature review on this topic. In this study, we reviewed 75 FMEA papers published between 1992 and 2012 in the international journals and categorized them according to the approaches used to overcome the limitations of the conventional RPN method. The intention of this review is to address the following three questions: (i) Which shortcomings attract the most attention? (ii) Which approaches are the most popular? (iii) Is there any inadequacy of the approaches? The answers to these questions will give an indication of current trends in research and the best direction for future research in order to further address the known deficiencies associated with the traditional FMEA.
666 citations
TL;DR: In this article, an idealized DEA is modeled and its failure is predicted as a function of film pre-stretch used during actuator fabrication, actuation voltage, and stretch rate.
596 citations
TL;DR: In this paper, the first-order, second-moment approach is explored and applied to the design of embankment dams to evaluate the relative contributions of uncertainties about different soil parameters to the reliability of the embankments.
Abstract: Formally probabilistic methods for the analysis of slope stability have had relatively little impact on practice. Many engineers are not familiar with probabilistic concepts, and it has been difficult to incorporate concepts of reliability into practice. Also, there is confusion over what reliability and probability of failure mean. The most effective applications of probabilistic methods are those involving relative probabilities of failure or illuminating the effects of uncertainties in the parameters. Attempts to determine the absolute probability of failure are much less successful. The paper describes how probabilistic descriptions of soil parameters can be derived from field and laboratory data and applied in stability analysis. The first-order, second-moment approach is explored and applied to the design of embankment dams. The example illustrates the relative contributions of uncertainties about different parameters to the reliability of the embankment. Reliability analysis is especially useful in establishing design values of factors of safety representing consistent risks for different types of failure.
593 citations