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Highly reliable multisensor array (MSA) smart transducers

机译:高度可靠的多传感器阵列(MSA)智能传感器

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Many developments in the field of multisensor array (MSA) transducers have taken place in the last few years. Advancements in fabrication technology, such as Micro-Electro-Mechanical Systems (MEMS) and nanotechnology, have made implementation of MSA devices a reality. NASA Kennedy Space Center (KSC) has been developing this type of technology because of the increases in safety, reliability, and performance and the reduction in operational and maintenance costs that can be achieved with these devices. To demonstrate the MSA technology benefits, KSC quantified the relationship between the number of sensors (N) and the associated improvement in sensor life and reliability. A software algorithm was developed to monitor and assess the health of each element and the overall MSA. Furthermore, the software algorithm implemented criteria on how these elements would contribute to the MSA-calculated output to ensure required performance. The hypothesis was that a greater number of statistically independent sensor elements would provide a measurable increase in measurement reliability. A computer simulation was created to answer this question. An array of N sensors underwent random failures in the simulation and a life extension factor (LEF equals the percentage of the life of a single sensor) was calculated by the program. When LEF was plotted as a function of N, a quasiexponential behavior was detected with marginal improvement above N = 30. The hypothesis and follow-on simulation results were then corroborated experimentally. An array composed of eight independent pressure sensors was fabricated. To accelerate sensor life cycle and failure and to simulate degradation over time, the MSA was exposed to an environmental temperature of 125℃. Every 24 hours, the experiment's environmental temperature was returned to ambient temperature (27℃), and the outputs of all the MSA sensor elements were measured. Once per week, the MSA calibration was verified at five different pressure points. Results from the experiment correlated with the results obtained in the computer simulation, in which the overall LEF of the MSA transducer was extended. Furthermore, it was concluded that the MSA approach was capable of extending calibration cycle times at least three times when compared to single-element transducers. These characteristics provided not only an increase in sensor reliability but also a reduction in operational and maintenance costs.
机译:在最近几年中,在多传感器阵列(MSA)换能器领域中发生了许多发展。制造技术的进步,例如微机电系统(MEMS)和纳米技术,已经使MSA器件的实现成为现实。 NASA肯尼迪航天中心(KSC)一直在开发这种技术,因为这些设备可以提高安全性,可靠性和性能,并降低运营和维护成本。为了证明MSA技术的优势,KSC量化了传感器数量(N)与传感器寿命和可靠性的相关提高之间的关系。开发了一种软件算法来监视和评估每个元素以及整个MSA的运行状况。此外,软件算法实施了有关这些元素如何对MSA计算得出的输出做出贡献以确保所需性能的标准。假设是,大量统计独立的传感器元件将提供可测量的测量可靠性增加。创建了计算机仿真来回答这个问题。 N个传感器的阵列在模拟中经历了随机故障,并且该程序计算了寿命延长因子(LEF等于单个传感器寿命的百分比)。当LEF作为N的函数作图时,检测到准指数行为,N = 30以上时略有改善。然后通过实验证实了假设和后续模拟结果。制造了由八个独立压力传感器组成的阵列。为了加快传感器的生命周期和故障并模拟随时间推移的退化,MSA暴露在125℃的环境温度下。每隔24小时,将实验的环境温度恢复到环境温度(27℃),并测量所有MSA传感器元件的输出。每周一次,在五个不同的压力点验证MSA校准。实验结果与计算机仿真获得的结果相关,其中扩展了MSA传感器的整体LEF。此外,得出的结论是,与单元素传感器相比,MSA方法能够将校准循环时间延长至少三倍。这些特性不仅提高了传感器的可靠性,而且降低了操作和维护成本。

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