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Bayesian Reliability Prediction of a Medical Device System

机译：贝叶斯的可靠性预测医疗设备系统

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High product quality and reliability are critical in the medical device industry. Accurate reliability prediction during the product development stage provides inputs for the design strategy and boosts understanding and confidence in product reliability before products are released to the market. A Bayesian framework provides a straightforward solution for product system reliability prediction with uncertainty quantified as confidence intervals. This is achieved by propagating the uncertainty of model parameters and component-level reliability to the system level. In this work, Bayesian models are applied in the Design for Reliability process to assess medical device system reliability with confidence. In cases where a single data source is insufficient due to sample size limitations, Bayesian models are flexible to aggregate various sources of data to reduce uncertainty.
机译：高产品质量和可靠性在医疗器械行业至关重要。产品开发阶段准确的可靠性预测为设计策略提供了输入，并在产品发布到市场之前提高了产品可靠性的理解和信心。贝叶斯框架为产品系统可靠性预测提供了直接解决方案，不确定地量化为置信区间。这是通过将模型参数和组件级可靠性的不确定性传播到系统级来实现的。在这项工作中，贝叶斯型号适用于可靠性过程的设计，以利用信心评估医疗器械系统可靠性。如果由于样本大小限制，单个数据源不足的情况下，贝叶斯模型是灵活的，以聚合各种数据来源以减少不确定性。

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