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This paper investigates an interesting research topic of defining and measuring reliability and availability of multistage production systems. Most current production systems include multiple stations or stages with possible varying buffer capacity in each station. The configurations of buffer resources/equipment and their reliability performance in one station are interdependent with adjacent stations,...
Carefully planning reliability testing is necessary for success of a product development. Sample size determination is an important step in test planning. One of most common questions any reliability engineer gets asked is “how many units do we need to test?” Of course the answer depends on a number of factors and information in hand. The design of reliability demonstration testing (RDT) has been...
Competing failure model (CFM) and mixed-failure model (MFM) are different. It is important to apply the right model based on specific engineering background of the problem to be studied. CFM is for homogeneous population analysis, while MFM is for heterogeneous population analysis. Significant error can happen if the right model is not used.
One of the important reliability activities in Design for Reliability (DFR) is system reliability allocation at the early product design stage. Usually system reliability is given as a product performance requirement under the normal use condition (e.g., the probability of failure for a 2-year operation should be less than 0.05 with a confidence level of 90%). Complex systems consist of many subsystems,...
Degradation tests are often applied on highly reliable products when the product performance can be repeatedly measured. In this paper, we compare two common types of degradation models — a nonlinear regression model and a stochastic process model. Particularly, we discuss the effects of measurement error on model parameter estimation and model selection. Using an example of photovoltaic product degradation,...
Metal fatigue is one of the most important failure modes to be considered in mechanical and structural design. The only satisfactory way to prevent fatigue failures in the service life span is by proper design; i.e., being able to predict the fatigue lifetime of a particular design through design analysis or testing. For engineering applications, designers need a simple and reasonably accurate design...
This paper considers the problem of evaluating the reliability of hierarchical systems subject to common-cause failures (CCF); and dynamic failure behavior such as spares, functional dependence, priority dependence, and dependence caused by multi-phased operations. We present a separable solution that has low computational complexity, and which is easy to integrate into existing analytical methods...
Common-cause failures (CCF) are simultaneous failures of multiple components within a system due to a common-cause or a shared root cause. CCF can contribute significantly to the overall system unreliability. Therefore, it is important to incorporate CCF into the system reliability analysis. Traditional CCF analyses have assumed that the occurrence of a common-cause results in the deterministic/guaranteed...
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