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Investigating the causes of biosensor SNR decrease by means of fault tree analysis

机译:通过故障树分析调查生物传感器SNR降低的原因

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The causes of biosensor signal-to-noise ratio decrease have been investigated by means of fault tree analysis (FTA) relying on fuzzy reasoning to account for uncertainty. Using the fuzzy FTA methodology proposed herein, all ultimate causes or combination of causes, attributed to the device components, the interaction of the device components or the human factors, that are responsible for or contribute to the above event have been recognised and quantified based on; (a) measurements for the deterministic contributors, and (b) experience for the stochastic contributors. The methodology has been implemented in the case of bilayer lipid membrane biosensors and has proven to be an efficient tool for internal diagnostics and fault compensation.
机译:通过基于模糊推理的故障树分析(FTA)研究了生物传感器信噪比降低的原因,以解决不确定性问题。使用本文中提出的模糊FTA方法,已基于以下原因识别并量化了归因于设备组件,设备组件或人为因素的所有最终原因或原因组合: ; (a)确定性贡献者的度量,以及(b)随机贡献者的经验。该方法已在双层脂质膜生物传感器的情况下实施,并且已被证明是用于内部诊断和故障补偿的有效工具。

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