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A Fault-Tolerant BIST Design of MEMS Infrared Thermopile Sensor

机译:MEMS红外热电堆传感器的容错BIST设计

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In this paper, a novel framework of fault-tolerant BIST (Built-In Self-Test) for MEMS (Micro-Electro-Mechanical-System) infrared thermopile sensor is proposed. In the proposed method, the BIST and fault-tolerant are both realized by BP (Back Propagation) neural network. During the BIST process, the test stimuli of the thermopile are provided by a built-in thermal resistance, and the test responses of the thermopile are analyzed to judge whether the device fails or not. The fault tolerance is realized by dividing the entire thermopile into four similar sections, and their responses are further analyzed to decide whether the faulty sensor can still be used with loss of accuracy or not. The simulation results show that the test accuracy of the proposed scheme is beyond 94%, with the fault tolerant scheme, the yield can be improved from 91.95% to 93.98%.
机译:在本文中,提出了一种用于MEMS(红外线)系统的热容传感器BIST(内置自检)的新型框架。在该方法中,BIST和容错都通过BP(反向传播)神经网络实现。在BIST过程中,热电堆的测试刺激由内置的热阻提供,并且对热电堆的测试响应进行分析,以判断设备是否发生故障。通过将整个热电堆分成四个相似的部分来实现容错能力,并进一步分析它们的响应,以确定是否仍然可以使用有故障的传感器,而不会失去准确性。仿真结果表明,所提方案的测试精度超过94%,采用容错方案,可以将良率从91.95%提高到93.98%。

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