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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°C. Every 24 hours, the experiment's environmental temperature was returned to ambient temperature (27°C), 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:在过去几年中发生了多用户阵列(MSA)传感器领域的许多发展。制造技术的进步,例如微机电系统(MEMS)和纳米技术,使MSA器件实现了现实。美国宇航局肯尼迪航天中心(KSC)一直在开发这种技术,因为安全性,可靠性和性能的增加,并且可以通过这些设备实现的操作和维护成本的降低。为了展示MSA技术的好处,KSC量化了传感器数量(N)的关系和传感器寿命和可靠性相关的相关性。开发了一种软件算法,用于监控和评估每个元素和整个MSA的健康。此外,软件算法实现了这些元素如何为MSA计算的输出有助于确保所需性能的标准。假设是更多数量的统计上独立的传感器元件将提供测量可靠性的可测量增加。创建计算机模拟以回答这个问题。通过程序计算了一系列N个传感器的N个传感器阵列接受了随机失败(LEF等于单个传感器的寿命的寿命百分比)。当作为n的函数绘制lef时,用高于n = 30的边际改善检测到Quasiexponential行为。然后实验证明和后续模拟结果。由八个独立压力传感器组成的阵列是制造的。为了加速传感器生命周期和失败并随时间模拟降级,MSA暴露于125°C的环境温度。每24小时一次,实验的环境温度恢复到环境温度(27°C),并测量所有MSA传感器元件的输出。每周一次,MSA校准在五个不同的压力点处验证。实验结果与计算机模拟中获得的结果相关,其中MSA传感器的整体lef延长。此外,得出结论是,与单元素换能器相比,MSA方法能够将校准循环时间延伸至少三次。这些特性不仅提供了传感器可靠性的增加,而且还提供了操作和维护成本的降低。

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